Reviewerly/exHarmony huggingface dataset:
Electric Wheelchair Control Using Head Velocity-Based Gesture Recognition Specializing in Turning Motion

We have been developing the "Smart Workcell," which supports the elderly and disabled in the high-mix, low-volume production of products and self-help devices. This study installed an electric wheelchair in a Smart Workcell and proposed a velocity-based head gesture control system that uses the face orientation acquired by a depth sensor to allow the user to change the chair posture in an ambient manner. Finally, the proposed system's effectiveness is verified by experiments, and prospects, such as speech recognition methods as a human interface for electric wheelchair are also discussed.
What Movement Means to US

This paper points out that our body movements work for holistic sensing and actuation, if we note the important role of proprioception. As the Real World is changing frequently and extensive and what makes the problem difficult in an unpredictable manner, we need to pay attention to the importance of analog, although DX is getting wide attention these days. The currently wide-used approach is based on cardinal approach, i.e., Euclidean Space approach. But when the dimension becomes very large, we cannot solve the problem mathematically based on Euclidean Space approach. The feelings of muscles or blood are analog, but if we introduce ordinal or Non-Euclidean approach, we can prioritize our decisions and act adequately. In other words, we can perceive and understand the current situation correctly, if our performance is indicated to help our Instinct. Instinct can process a large amount of analog information and in addition it can carry this task in real time. This paper points out the importance of Instinct and proposed a performance indicator to help our Instinct relating our movements. .
Digital Age and Newspaper Reading Behaviour: A Case Study of Undergraduate and Postgraduate Students of Kashmir

Reading habits have been cultivated by human beings since time immemorial. It helps to pass words of wisdom and knowledge from one generation to another generation. Reading enhances the vision and provides new knowledge to the mind. The vital factor for intellectual and emotional growth is reading. This paper is an attempt to study about the reading habits of college and university students in Kashmir. In this paper, researchers analyze and indicate the language of the newspaper, time spent on reading, format of newspaper, choice of newspaper, choice of topic in newspaper and purpose of reading newspapers.
ETHICAL ASPECTS OF THE DIGITAL WELL-BEING OF SOCIETY. (ANALYTICAL REVIEW)

The concept of «digital well-being» is used to denote the positive effect of applying of digital technologies in all spheres of modern society. However, as practice shows, new information and communication technologies are quite risky and very ambiguous in the sense of an unconditional benefit for society. This thematic review presents an analysis of scientific sources on key social spheres: healthcare, education, economy, management and social development, media and entertainment, which are currently experiencing the most direct and aggressive impact of digitalization. The purpose of the review is to identify open and unresolved issues related to the ethics of digital well-being of society.
Terminology and Definitions

Users may publish various personal data in their OSN profiles, such as their birthday, gender, interests, education, and workplace, in the form of attributes. They can choose appropriate privacy settings, provided by the OSN, to reveal the attributes to suitable audiences such as friends, friends-of-friends, and even strangers who are members of the OSN. These audiences may become risk sources leading to a variety of threats such as unintended access to user attributes. These threats ultimately cause privacy harms, such as identity theft, for the user.
Attribute Visibility in OSN

The privacy settings of the target user and his vicinity contribute to the attributes that are visible about him [39]. Attributes may be visible to a risk source either because they are directly revealed to it by the user or because the risk source can infer their values based on the attributes disclosed by the user’s vicinity.
The Relationship between Transformational Leadership Style and Voice Behaviour

The purpose of this research was to examine the effect of the transformational leadership (TL) style on voice behaviour (VB) under circumstances that do not promote proactive behaviour on the society. In addition, this research explored the moderator effect of the follower gender and type of company on the TL-VB relationship. This was a quantitative, correlational and cross-sectional study. Data were analysed using structural equations modelling. The results showed that TL has a direct, positive and significant effect on VB, but the follower's gender and type of company have no significant effect on the TL-VB relationship. Future research should consider a broad type of organisation, and include moderating variables related to the follower's personality and the corporate ethical environment. Also, future's studies should investigate the influence of TL on VB at territories with different levels of DP and UA, and to compare the effects due the mentioned context differences.
Comparative evaluation of rapid diagnostic test and real-time PCR in clinically suspected malaria

Background: India represents 3% related to the global malaria problem. Early diagnosis and treatment that are complete alongside preventive measures are modalities essential to managing the situation. Rapid diagnostic tests (RDTs) and polymerase chain reaction (PCR) that are malaria that is real-time be used to obtain an exceedingly really very early diagnosis in acutely febrile customers. Aims and Objectives: This study aims to gauge the effectiveness of RDT bloodstream that is utilized entire from clients clinically suspected of malaria and compare it with real-time PCR. Materials and Methods: The cross-sectional study is observationally done and made up of 158 patients admitted to Index Hospital, Indore, having a serious illness that is febrile and medical suspicion of malaria. RDT for malaria antigen and PCR that are real-time done in the bloodstream that is whole examples depending on kit guidelines. Results: There exists a difference that is significant the nice and examples which are negative by both techniques. Fast P = test is diagnostic PCR that is real-time RDT has been good in 62 (44%) clients, whereas, real-time PCR detected the parasite in 136 (91%) customers. RDT was in reality negative for malaria antigen in 16 (12.8%) consumers, in whom RT-PCR was good. RDT failed to identify Plasmodium falciparum antigen in RT-PCR samples that can be good. RT-PCR indicates basic greater sensitiveness (82.4–95% CI 79.2–84.5%) in diagnosing malaria set alongside the quick test is an antigen. The sensitiveness of RT-PCR in detecting P. falciparum had been also high (74.2%, 95% CI 71.4–77.2). This has greater specificity than RDT in detecting P. falciparum disease (91.3%, 95% CI 89.4–95.4) in detecting P. falciparum than RDT. Conclusion: RT-PCR has better efficacy to look for the presence of malaria parasites in acutely clients being febrile remain undiscovered by RDT. Therefore, it might be helpful for the verification of diagnoses and studies which are epidemiological.
Single and Multiface Detection and Recognition System

Abstract Face detection has drawn the interest of numerous research groups because to its vast application in various domains such as surveillance and security systems, as human-computer interaction, and many more. Face identification is the important phase involving several factors such as lighting, facial expression, and ageing effects. It’s more tough as detection takes a lot of time to detect and distinguish a single face at a time. Moreover, most of the existing technology cannot accurately detect many faces simultaneously. This study therefore presents a system that can recognize and identify multiple face image simultaneously with various expressions. Face-recognition procedure consists of data gathering, face detection, extraction, and classification feature. The face dataset is obtained from 10 participants with varied backgrounds and expressions. Subsequently, the viola-jones technique together with threshold technique is utilized in face detection to detect face presents while removing the unnecessary background to reduce face recognition time processing further. The Principal Component Analysis (PCA) is then employed to extract features while maintaining as much information as possible from enormous image data set. After formulating each face’s representation, the classification process is considered to recognize the identities of users’ faces. Here, a non-parametric classifier i.e. Support Vector Machine (SVM) is applied in this process. Conclusively, the system is able to detect around 90 percent multi-face user in different conditions.
Supplemental Material: Termination of the Paleo-Asian Ocean in the Beishan orogen, NW China: Constraints from detrital zircon U-Pb age and Hf isotope analysis of turbidites

&lt;p&gt;Table S1: LA-ICP-MS data for the Permian turbidites in southern Beishan, China. Table S2: Zircon Lu-Hf isotopic analyses from the Permian turbidites in southern Beishan, NW China. Table S3: Sr-Nd isotopic data for the Permian turbidites in southern Beishan. Figure S1: Compound U-Pb concordia diagrams of samples collected from Permian turbidites in the southmost Beishan orogenic collage. Figure S2: Compound U-Pb concordia diagrams of Paleozoic detrital zircons in this study. Figure S3: Age histograms and relative probability diagrams of detrital zircons from every single sample. Figure S4: Comparison of age histograms and relative probability plots for detrital zircons U-Pb ages of Paleozoic sedimentary rocks in Southern Altaids.&lt;/p&gt;
Peranan Orang Tua Dalam Pengembangan Literasi Dini Selama Covid-19 Pada Anak Usia 5-6 Tahun

This study aims to reveal the role of parents in developing children's early literacy during the Covid-19 period, by using a survey method with 26 respondents, namely parents of 13 boys and 13 girls. The analysis was carried out using the percent index formula and SPSS 16 software. The instrument was validated with expert judgment techniques and the reliable test showed the number 0.912&gt; 0.60, which means that the questionnaire was reliable. The results of the data analysis showed that the parents in the TK Pembangunan Laboratorium UNP were in the category of less role, with the average percentage of all skills being 62.09%. Researchers have revealed the role of parents in developing children's early literacy with details of the ability to print motivation skills of 53.34% which means less, print motivation skills of 67.04% which means sufficient, phonological awareness skills of 70.68% which means sufficient, vocabulary skills of 67.21% which means enough, narrative skill is 60.74% which means less, and letter knowledge is 53.55% which means less.
Public Key Cryptography in Computer and Network Security

chapter Share on Public Key Cryptography in Computer and Network Security Author: Paul Kocher View Profile Authors Info & Claims Democratizing Cryptography: The Work of Whitfield Diffie and Martin HellmanAugust 2022 Pages 57–76https://doi.org/10.1145/3549993.3549998Published:26 August 2022Publication History 0citation6DownloadsMetricsTotal Citations0Total Downloads6Last 12 Months6Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Data Management and Visualization

As with any web application, the management of data is an integral part of the undertaking. Coupled with the rise in big data, we are constantly in need of developing techniques that can manage the sheer magnitude of our data in an efficient and robust manner. In this chapter, we will address some of the key methods used to manage big data. Namely, we will cover encoding large multimedia files and dataframes into bytes data that can then be stored more robustly on database systems or in memory. Subsequently, we will demonstrate the utility of Streamlit’s in-house caching capabilities that can be used to cache data, function executions, and objects in order to drastically reduce execution time on reruns of our application. Finally, we will cover techniques to mutate dataframes and tables in our application on demand.
Authentication and Application Security

After acquainting ourselves with the necessary building blocks of a well-structured Streamlit web application, we require an additional feature to deploy a production-ready application, namely, a secure user authentication service. Once all users requesting access to the application are authenticated, we can guarantee a secure user experience whereby private data is safe and any unwelcome or malicious requests are formidably denied. In this chapter, we will learn how to establish user accounts, verify user actions, and implement other housekeeping measures that are expected of any well-versed software engineer.
Building Streamlit Components

Streamlit regularly extends its features to incorporate additional capabilities that can be utilized by developers in a few short lines of code. At some point however, developers will need to take matters into their own hands and build something tailored to address their own specific user requirements. Whether this is to modify the user interface or to offer a bespoke experience to the user, Streamlit allows the developer to create custom components on demand. Furthermore, Streamlit supports using ReactJS as a wingman to build components that can be used as a live web server or built using deployment-ready code. In this chapter, we will walk through the steps required to make new Streamlit components, to use them in a Pythonic context, and to share them with the general public.
Psychological dimensions of learning in the youth stage

This synthesis is based on a sample of the available literature. The study involved an advanced search in electronic databases, selecting all related research that addressed the psychological aspects of learning at a young age from the perspective of developmental psychology. Of the 60 articles that met the criteria, only 35 were eventually included in the study. This review of the available literature has shown that practical, hands-on learning prevails among young people. Being linked to the real requirements of their future field of work, independent learning being more elaborate than institutionalized learning. Another distinctive feature of young people is that it learning becomes strongly selective, conscious and voluntary - they decide themselves why and how they will learn. The level of organization and the quality of learning are higher among young people with a long-term education and a profession that requires intellectual competence
La transcreazione nei testi delle canzoni : la canzone straniera nelle voci italiane da Riccardo del Turco a Claudio Lolli

There are different ways of translating popular songs or pop music. They can be translated for a volume that collects lyrics only to be read, to understand the meaning of the song’s message. If the song must be translated to be sung, for the performance, and you do not want to change the music, the only way to go is that of adaptation, in the appropriate choice of rhyming words that must adapt to the musical, mask (Low 2008). Our thesis, supported by three original case studies whose results we will study in the transition from a foreign language to Italian, is that this adaptation can coincide with what is now called transcreation.
Pattern Recognition Search: An Advancement Over Interpolation Search

Searching for a record in a dataset is always a frequent task for any data structure related application. Hence, a fast and efficient algorithm for the approach has its importance in yielding the quickest results and enhancing the overall productivity of the company. Interpolation search is one such technique used to search through a sorted set of elements. This paper proposes a new algorithm, an advancement over interpolation search for the application of search over a sorted array. Pattern Recognition Search or PRS, like interpolation search, is a pattern based divide and conquer algorithm whose objective is to reduce the sample size in order to quicken the process and it does so by treating the array as a perfect arithmetic progression series and thereby deducing the key element&#x0027;s position. We look to highlight some of the key drawbacks of interpolation search which is accounted for in the Pattern Recognition Search.
Blockchain Technology in Financial Sector and Its Legal Implications

The blockchain technology has reached the tipping point. Blockchain is a zero-level technology on different applications such as crypto, smart contract, tokens, and DAO function. The applications of blockchain technology have generated new paradigms posing significant challenges to the world. Although blockchain technology is evolving and is in its nascent stage, the financial world has started relying upon it and is heavily investing in blockchain applications. In such a scenario, there is every possibility of its being misused and used for illicit purposes like money laundering, hacking, privacy breach, Ponzi investment scheme, terrorist financing, etc. Keeping this in view, this paper aims to explore how blockchain technology is used in the financial sector and analyse the legal implications thereof. For this, the chapter will explain what blockchain technology is, how it is being applied in the financial sector, need for regulation, and lastly, draw conclusions and suggest a few corrective measures.
Transforming Medical Data into Ontologies for Improving Semantic Interoperability

Healthcare systems today have mostly become patient-centric and digitally expressed in form of electronic health record (EHR). The medical data collected using clinical codes from multiple sources are saved in structured form or free text. This data heterogeneity has extensively increased due to the exponential growth of healthcare data which makes data extraction complex, creates interoperability issues, and hinders healthcare development. Web Ontology Language (OWL) combined with Semantic Web technologies adds simplicity to searching, integrating, reusing, sharing information, and addressing interoperability issues. It is very much essential to transform medical data into ontologies to achieve improved semantic interoperability. This chapter focuses on a review of the significance of the semantic web in the medical industry and discusses different methods of building or transforming open EHR-based medical data to OWL individuals. Finally, the chapter gives an insight into ontology mapping for semantic interoperability with its benefits and also considerable challenges.
The Security in Networks Through Short Normalized Attack Graph Modeling

In this chapter, a proposal is made to design a new attack graph model based on shortest path normalization. The main aim of the proposed method is to provide the security for the dynamic network conditions. As the conventional attack, graph models are limited to only static networks, and they cannot ensure a secure data communication in the network. The proposed attack graph model tackles this problem by the accomplishment of a dynamic stochastic modeling on the network. To ensure the robustness, the proposed model is employed in two different cases; they are halt condition and varying condition. Simulation is conducted through several attributes, and the performance is measured through computational time and link probability.
Working with Multiple Relationships Between Tables

In our data model, all our tables have single relationships between other tables. Indeed, it’s only possible to have one active relationship between any two tables, but you can have as many inactive relationships as you want. In this chapter, you will learn how to use multiple relationships between tables and activate inactive relationships. This may be because you require multiple links from a dimension table into the fact table. However, there is another less obvious use of inactive relationships that we will discover in this chapter, and that is using comparison dimension tables. Here, we can use measures to force filter propagation through the comparison dimension table, therefore being able to compare a column from a default dimension with its counterpart in a comparison dimension.
People

A BBC TV quiz show airing between 2000 and 2012 called The Weakest Link, originally hosted by Anne Robinson, where contestants, taking turns, tried to create chains of correct answers in a row to increase the amount of money they would earn. One incorrect answer would break the chain, and the contestants would lose all the money in that chain. Cybersecurity is just like that. The strength of a cybersecurity posture is limited to the weakest link in the chain. Technology and processes are enablers to increase the overall strength of the organization’s security. However, eventually, people are creating, developing, and using these. People present the greatest cybersecurity risk. One mistake or wrongdoing can break the chain, and then bad things happen.
In Situ Fast Measurement of the Radius of Curvature for the Plano-Convex Lens with Deep-Learning Based Phase Retrieval

As one of the most basic optical elements, lenses are widely used in lots of hightech fields such as optical lithography, photoelectric detection, biological and medical engineering. The radius of curvature (ROC) is one of the key parameters determining the performances of the lens such as imaging, phase transform and spatial Fourier transform. In the process of lens manufacturing, the ROC needs to be measured to make sure the lens can meet the requirements for use. In this paper, we first develop a method to measure the ROC of plano-convex lens in situ by using deep-learning based phase retrieval (PR). Through simulation, we utilize the convolutional neural network to establish the nonlinear mapping between the error of ROC and corresponding focus and defocus point spread functions (PSFs) generated by the lens, and the ROC can be directly estimated from the actual PSFs generated by the lens under test by means of the network of simulation training in practical application. The experimental proofs show that our method could achieve a relative measurement error of 0.029% for the plano-convex lens at high measurement speed. This method can realize the in situ fast measurement of the ROC with the significant advantages of no damage, simple operation and anti-interference ability.