Reviewerly/exHarmony huggingface dataset:
V2P Future

From highway construction workers to cyclists, vulnerable road users are, by definition, the most in need of protection on our streets. New connectivity technologies promise to be able to bring pedestrians and others into the V2X ecosystem, but which are the best solutions? And how can we ensure that deployment proceeds safely and equitably?
Safer Roads Through Smarter Enforcement

A whole range of capabilities are offered by Idemia’s new MESTAcompact solution, from red-light and speed enforcement to seatbelt- and cellphone-use detection
A Unified Model of Transaction Packaging in High-Throughput Blockchains

We develop a model of coordination and allocation of decentralized multi-sided markets, in which our theoretical analysis is promisingly optimizing the decentralized transaction packaging process at high-throughput blockchains or Web 3.0 platforms. In contrast to the stylized centralized platform, the decentralized platform is powered by blockchain technology, which allows for secure and transparent Peer-to-Peer transactions among users. Traditional single-chain-based blockchains suffer from the well-known blockchain trilemma. Beyond the single-chain-based scheme, decentralized high-throughput blockchains adopt parallel protocols to reconcile the blockchain trilemma, implementing any tasking and desired allocation. However, unneglectable network latency may induce partial observability, resulting in incoordination and misallocation issues for the decentralized transaction packaging process at the current high-throughput blockchain protocols. To address this problem, we consider a strategic coordination mechanism for the decentralized transaction packaging process by using a game-theoretic approach. Under a tractable two-period model, we find a Bayesian Nash equilibrium of the miner’s strategic transaction packaging under partial observability. Along with novel algorithms for computing equilibrium payoffs, we show that the decentralized platform can achieve an efficient and stable market outcome. The model also highlights that the proposed mechanism can endogenously offer a base fee per gas without any restructuration of the initial blockchain transaction fee mechanism. The theoretical results that underlie the algorithms also imply bounds on the computational complexity of equilibrium payoffs.
2022 Annual Acknowledgement of Reviewers

Journal of Traumatic StressVolume 36, Issue 1 p. 251-253 REVIEWER ACKNOWLEDGMENT 2022 Annual Acknowledgement of Reviewers First published: 29 January 2023 https://doi.org/10.1002/jts.22910Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume36, Issue1February 2023Pages 251-253 RelatedInformation
A Novel Interactive Image Segmentation Algorithm Based on Maximization of Submodular Function

In this paper, an efficient interactive image segmentation method based on maximization of submodular function under user’s scribble constraint is presented. The problem of interactive image segmentation is formulated as the maximum entropy rate under user’s constraints. The objective function is submodular, and we solve the constrained submodular function maximization by incorporating a new data structure and some aggregating rules into the greedy algorithm. The main steps of our algorithm are as follows. First, the pixels scribbled by the user are clustered separately as target foreground and background clusters. Second, in the process of greedy algorithm, unscribbled pixels are aggregated to the corresponding target cluster according to the proposed aggregating rules. Finally, the segmentation result is presented by the two target clusters. The experiments and comparisons on three standard benchmarks show that our method has good performance. Our method is straightforward and efficient, and the time complexity of our method is between linear and polynomial. Furthermore, we analyze the influence of different scribbles, and propose some optimal scribble strategies.
Web-scale discovery services: principles, applications, discovery tools and development hypotheses

"Web-scale discovery services: principles, applications, discovery tools and development hypotheses." Journal of the Australian Library and Information Association, 72(1), pp. 114–115
The future of enriched, linked, open and filtered metadata: making sense of IFLA LRM, RDA, linked data and BIB frame

"The future of enriched, linked, open and filtered metadata: making sense of IFLA LRM, RDA, linked data and BIB frame." Journal of the Australian Library and Information Association, 72(1), pp. 105–106
School libraries supporting literacy and wellbeing

"School libraries supporting literacy and wellbeing." Journal of the Australian Library and Information Association, 72(1), pp. 111–112
Visualizing and witnessing first-order coherence, Bell nonlocality and purity by using a quantum steering ellipsoid in the non-inertial frame

A quantum steering ellipsoid (QSE) is a visual characterization for bipartite qubit systems, and it is also a novel avenue for describing and detecting quantum correlations. Herein, by using a QSE, we visualize and witness the first-order coherence (FOC), Bell nonlocality (BN) and purity under non-inertial frames. Also, the collective influences of the depolarizing channel and the non-coherence-generating channel (NCGC) on the FOC, BN and purity are investigated in the QSE formalism. The results reveal that the distance from the center of the QSE to the center of the Bloch sphere visualizes the FOC of a bipartite system, the lengths of the QSE semiaxis visualize the BN, and the QSE’s shape and position dominate the purity of the system. One can capture the FOC, BN and purity via the shape and position of the QSE in the non-inertial frame. The depolarizing channel (the NCGC) gives rise to the shrinking and degradation (the periodical oscillation) of the QSE. One can use these traits to visually characterize and detect the FOC, BN and purity under the influence of external noise. Of particular note is that the condition for the QSE to achieve the center of the Bloch sphere cannot be influenced by the depolarizing channel and the NCGC. The characterization shows that the conditions for the disappearance of the FOC are invariant under the additional influences of the depolarizing channel and NCGC.
Weighted cue integration for straight-line orientation

[This corrects the article DOI: 10.1016/j.isci.2022.105207.].
Standardization of Criteria across Multiple Evaluators to Detect Objects

For a typical object detection task with machine learning technique, there has an absolute correct label on which a mechanical model is constructed. However, there are many tasks in which labels vary with evaluators because they have different criteria for discrimination. It happens when the detection criteria are vague and undefined among evaluators. This problem is avoided by constructing an individual model, but it is not recommended from a long-term perspective, because the model depends on a specific evaluator. This paper proposes a method to standardize the evaluator's criteria. The method is verified in the image detection task of asteroid powders in paint material as an example of ambiguity in the criteria. The performance and variance of detection with the proposed method are compared with conventional ones to evaluate whether it allows us to standardize the evaluators’ criteria. It turns out a clear reduction in the variance of evaluators’ detection results without significant degradation of the performance for all evaluators. It is confirmed this method standardizes the criteria across multiple evaluators. In addition, the paper discusses how to obtain manuals formally expressing the standardized criteria with text mining.
Analisis Publikasi Ilmiah Dosen Terindeks Scopus Pada Fakultas Keperawatan Universitas Riau Tahun 2011-2022

College is one of the educational institutions that incidentally can be relied upon as the producer of the most and quality scientific work. However, it is necessary to conduct a study to obtain information related to the analysis of Scopus indexed lecturer scientific publications. This study aims to determine 1) The productivity of the most scientific publications by lecturers, 2) The most cited Scientific Publications, 3) The level of collaboration in writing scientific papers, and 4) Impresum of Scopus indexed scientific publication publications. The method used is descriptive method with bibliometric analysis. The sample is 39 lecturers. Data collection techniques in the form of documentation. The data analysis technique uses the following steps: preparation, Scopus data download, tabulation, processing and manufacturing, data presentation and conclusion deflation. The results showed that 1) The productivity of most lecturer scientific publications was Yufitriana Amir's scientific publications with 11 articles, 2) The most cited and most popular scientific publications were Yufitriana Amir's articles with 83 citations, 3) The degree of collaboration of lecturers' scientific publications was 0.97 or (97 %), 4) Places where lecturers' scientific publications are published, dominantly published in the international journal Enfermeria Clinica based in Spain, namely 21 scientific works (52.5%). The conclusions of the research show that the productivity of scientific publications produced by lecturers at the Faculty of Nursing, Unri is mostly done in collaboration.
Pemahaman Dan Kesiapan Pustakawan Terhadap Pemanfaatan Alat Klasifikasi Di Era Digital

Cataloging and classification is a major factor in the process of retrieval of information sources. Implementation of cataloging and classification requires reliable librarian competence. In this digital era, librarians are given many choices. Each librarian has strategy in carrying out classification activities, but still adhere to the principle of consistency and ease in the retrieval process. This study aims to provide an overview of the understanding and readiness of academic librarians in East Java state universities for classification tools in the digital era; as well as to know what classification tools are used by academic librarians of public universities in East Java in help their duties. The primary research data were obtained from interviews with 8 librarians in the classification section of East Java state university libraries, namely UNAIR, ITS, UNESA, UPN, UB, UM, UNEJ, and UTM. The method used descriptive qualitative approach. The results of the study show that most of the informants understand the existence of classification tools in the digital era. They know and implement these tools in their work. Most of the informants used the printed DDC as a classification tool in this era, even though they aware of online or digital classification tools. The printed DDC is believed to be reliable and trusted classification tool. Even so, there were informants who knew and understood the existence of a classification tool, but didn’t use it for reasons of inadequate supporting facilities. Most of the informants felt helped by the classification tools in online or digital form.
How Does AI Make Libraries Smart?: a Case Study of Hangzhou Public Library

In the past two decades, the rapid development of information technology has been widely used in individuals’ daily life leads to their lives’ sea change. As a city at the forefront of Artificial Intelligence (AI) technology in China, Hangzhou first applied the technology to public library services to relieve the shortage of reference and circulation service resources caused by a large number of regular patrons. This chapter first introduced the application model of AI in various libraries worldwide, then focused on its application in a public library in China, a developing country. This chapter may shed light on the application of AI in other libraries in developing countries.
The Kalman Filter &amp;amp; Interacting Multiple-Model: Mistakes, Oversights, and Deficiencies

This paper is a follow-on to Polynomial Least Squares Multiple-Model Estimation (LSMM) in SNAS Nov 2020 (referenced below as [6]), which because of concern about limited space did not focus completely on, or fully summarize and consolidate, Kalman Filter failures. To just address the important points and remain short, this paper is more like an IEEE correspondence than a regular paper. A similar paper used in preparing the one at SNAS is also available on SSRN: https://ssrn.com/abstract=3331948. Kalman made mistakes that cause numerous other mistakes, oversights, and deficiencies to manifest themselves throughout his algorithm and in the interacting multiple-model (IMM), despite the fact that what has become known as the Kalman Filter has been described as the most powerful and popular algorithm in engineering.The single most important point and conclusion is that the KF is not only less accurate than the LSMM, the KF is truly optimum only in the absence of both the (fictitious) state noise (the mislabeled state noise variance being an arbitrary constant) and the statistical measurement noise.
Content-Hosting Platforms: Discovery, Membership, or Both?

We develop a model that classifies platforms in the "creator economy"---e.g. Youtube, Patreon, and Twitch---into three broad business models: pure discovery mode (providing recommendations to help consumers search for creators); pure membership mode (enabling individual creators to monetize their viewers through direct transactions); and a hybrid mode which combines both. Creators respond to platforms' decisions by individually choosing to supply content designed along a broad-niche spectrum, which involves a trade-off between viewership size and per-viewer revenue. These design changes create a trade-off between advertising revenue and transaction commission revenue for the platform. In a monopoly platform benchmark moving from pure discovery to hybrid always increases platform revenue while making content weakly more niche. However, moving from pure membership to hybrid may reduce platform revenue if providing advertising is not sufficiently lucrative. In a duopoly setup these tradeoffs can change dramatically depending on the level of platform competition and homing behavior of creators and consumers.
The determinants of Saudi Arabians’ attitudes of E-learning System using GMDH and dce-GMDH models

E-learning systems are considered one of the most important sustainable activities that always need research and development. Therefore, one of the most important challenges in the development of e-learning systems is determining the users’ attitudes. Many countries are working hard for improving the performance of their education systems particularly during COVID-19 pandemic. In this study, we examined the determinants of Saudi Arabians’ attitudes (SAA) of e-learning system. A well-structured questionnaire was designed to cover all aspects of our objectives. To answer the study's questions and test its hypotheses, a descriptive analytical technique was employed on 309 respondents. We found that SAA of e-learning system are good. We employed the Group Method of Data Handling (GMDH) technique, and the diversified classifier ensemble based on GMDH (dce-GMDH) to predict the SAA. The suggested approach considers Perceived ease of use (PEU), Speed and flexibility of work (FLX), Perceived usefulness (PU), Resistance to technology (RES), and Cost of technology (CT) as input variables whereas SAA as output variables. Several statistical tests are used to assess the efficacy of input variables in the collected data. The reliability and validity of input and output variables are acceptable because Cronbach's alpha (α) is greater than 70%, composite reliability (CR*) is greater than critical point 70%, and average variance extracted (AVE) is larger than 50%. Furthermore, there is no multicollinearity for the input variables because Variance Inflation Factor (VIF) is less than 10 and tolerance is more than 20%. The PEU, FLX, PU, and RES are found to have a significant positive impact on SAA under the ordinary least squares (OLS) technique. Additionally, the CT has a significant negative impact on SAA. Based on the error criteria, the findings show that dce-GMDH outperforms GMDH in predicting SAA
STEM Skills for Supporting Integration of Industry 4.0 Technologies with Education 4.0

Industry 4.0 refers to rapidly evolving technology in a variety of disciplines that aims to improve process efficiency across all the industrial sectors, services, and products, including education. Education 4.0 modifies traditional educational systems to incorporate these new innovations. Education 4.0 is a learning technique associated with the fourth industrial revolution that focuses on transforming education's future through advanced technology and automation. Furthermore, the complexities of Education 4.0 necessitate that all students be equipped with science, technology, engineering, and mathematics (STEM) skills in order to solve most interdisciplinary problems. This paper investigates the significance of STEM skills in transforming education systems into Education 4.0 and explores some approaches for aligning teaching and learning methods with these skills to ensure that students are successfully prepared for the fourth industrial revolution.
Visual Data Coding Algorithms for the Problem of Steganographic Information Protection

Wide spread of digital image in every aspect of human life made them not only a part of entertainment or communication ingredient, but also an important instrument of information transfer in general. Some information must remain secret while being transferred, therefore a problem of data concealment and protection inside image appears. The method of concealment, which is based on bi-signed structural coding, and foresees the change of value of image structural signs in obedience to maintenance of secret message, is presented, so that possible intruder couldn’t even know about secret information. The offered method of hidden message concealment in a static image is realized in program using MathCAD, so it can be easily implemented using limited technical capabilities. Basic characteristics that determine the quality of concealment were defined during the investigation. The numerical values of these characteristics are calculated for a test image-container.
Human Resource Development in Economic Development of India: A Case of Education

Human Resource Development plays a crucial and pivotal role in economic development. Human resource development facilitates inclusive growth as well as growth with equity and justice along with sustainable development. Hence it enhances the welfare of the people. India has rich natural resources and also is the home of more than 121 crores of people. The utilization of resources efficiently and sustainably for India’s growth depends on human resources. The human development report (1990) defined human development as the process of enlarging people’s choices. The United Nations (2014) defines Human Resource Development as ‘empowering people by fostering the contributory capacities that they can bring to the improvement of their own quality of life and that of their families, communities, enterprises and societies’. Harbison (1962) opines that ‘human resource development refers to the process of acquiring and increasing the number of persons who have the skills, education and experience which are critical for the economic and the political development of the country. Hence Human capital formation is thus associated with an investment in man and his development as a creative and productive resource. From the definitions discussed, human resource development can be referred to the development of abilities and skills among the population of the country so that it enlarges ppeople’s choice and thereby the quality of life.
The Possibility of Archetypal Cogitation and Succession Education in East-West Mythological Texts

This study started from the problem that the current education about myths can instill a prejudice against myth in the learner, by pursuing the interpretation embedded in the historical functionalities centered on the founding of myth. To solve this problem, after establishing the concept of mythological succession in pursuit of ‘integration between the past and the present’ based on the essential characteristics of myth, the contents system of mythological succession education and the significance of Korean language education were established. First, The core of mythological succession education is to enable learners to realize that mythology is the basis for shaping logical models that can solve conflicts in human life, and that modern people are the basis for forming desirable life attitudes. Second, the education of mythological succession can contribute to the realization of the purpose of Korean language education: ‘the linguistic growth of individuals,’ ‘the critical analysis and understanding of culture’ and ‘the inheritance of language cultural heritage.’ Third, the contents system of mythological succession education is the result of the process of interpreting mythical text and applying the result to life by utilizing the structure of myth and the topic of myth, embodied in the essence, performance and attitude, which are the core concepts of the Korean language and curriculum. The significance of this study is that it has been demonstrated that classical literature can be useful as an educational sanction for the succession of tradition. We hoped that this study will serve as an opportunity to revitalize discussions.
AML/CFT and Cybersecurity Law in the UK

The FCA oversees compliance with AML regulations in the UK and has the power to investigate money laundering and terrorism financing offenses in conjunction with other law enforcement agencies and authorities, such as the Crown Prosecution Service (CPS). All banks and financial institutions in the UK must register with the FCA. The Terrorism Act imposes counter financing of terrorism obligations on banks and financial institutions, which also include customer due diligence, transaction monitoring, and reporting obligations. There is no overarching comprehensive national cybersecurity law, although the European Union’s General Data Protection Regulation (GDPR), in which the UK was a member party, came pretty close.
AML and Cybersecurity in Banking Industry: Challenges

Cyberattacks impair the ability of the bank to service running creditors. The banking industry relies heavily on technology. The sheer amount of transactions in modern banking makes the functioning of the financial sector infeasible without automated networking, information processing, and telecommunication services. Banks must identify the risks by fulfilling their AML obligations and taking necessary precautions. Like any operational risk event, a cyberattack can trigger a liquidity run and lead to solvency issues.
AML/CFT and Cyber Security Laws in the United States

In 1988, the United States passed the Anti-Drug Abuse ActAnti-Drug Abuse Act, introducing new restrictions and legislative support to prevent money laundering, including the obligation to maintain full information about and the identification of persons who acquire bearer documents or transfer amounts greater than three thousand dollars. The overall framework has evolved over times. Certain cybersecurity laws are more specific to the banking industry, and several federal government agencies are involved in cybersecurity.