Reviewerly/exHarmony huggingface dataset:
COVID-19 collaborative screening: An action-research project for large scale contact tracing in Northern Portugal

In late November 2020, when Europe reached the highest 14-day incidence of COVID-19 cases, the resource-intensive and time-consuming traditional contact tracing performed by Public Health was challenged. In this context, innovative approaches were necessary to guarantee a timely interruption of disease transmission. “COVID-19 Collaborative Screening” Project was developed as a faster solution, not only because the contact tracing process is simpler for the operator, but mainly because it is possible to quickly scale up the number of operators involved. It was designed to interrupt family and social transmission chains, in a partnership with the Local Public Health Services – allowing these services to dedicate to scenarios of more complex risk assessment, using the traditional contact tracing. To perform contact tracing, this method involves Public Servants, Armed Forces and Medical Dentists. The Project also promotes participatory citizenship, by delegating to the citizen the responsibility of registering his/hers contacts with high-risk exposure in an online form, in contrast to the traditional contact tracing method which is more health professional-dependent. Until the end of January 2021, the Project has trained eight teams, enrolling a total of 213 professionals, and was implemented in eight Health Regions (with an estimated population of 1,346,150 inhabitants). The Project was successful at facing the delays in case interview and contact tracing. The strategy implemented by ColabCOVID is assembled as a sustainable, reproducible and scalable platform and is ready to be re-implemented to face the emergence of more contagious variants, as well as an eventual forthcoming health threat.
Multi-Dimension Analysis on TCSL Oral Teaching in Application of the OMO Mixed Mode

Various of teaching modes have emerged in quantity due to the development and combination of multimedia, cloud computing, advanced 5G wireless communication technologies and modern teaching theories.Teaching Chinese as a second language (TCSL) are still proliferating fast in spite of several dynamic and uncertain factors such as public health emergencies, a country's policy adjustments, international situations, etc. Experts and scholars have always focused on researching learners' oral Chinese ability in that the fundamental purpose of language learning is to communicate effectually.Three main modes of oral teaching can be refined about TCSL.They are traditional offline classroom teaching, pure online oral teaching and online merging offline (OMO) oral teaching.In post-COVID-19 period, the OMO mixed mode burst into a very strong vitality.It has a strong application prospect in the following period of time.This paper discusses TCSL oral teaching in application of the OMO mixed mode from multi-dimension perspectives.First and foremost, this paper states the concept, origin and development of the OMO mixed mode and its three major benefits in TCSL oral teaching: supporting diversified learning styles; complementing online and offline merits; establishing multiple evaluation methods.Then the paper discusses four predominant application strategies of the OMO mixed mode in TCSL oral teaching respectively.Teachers skillfully use the internet platforms to assist students' preview.Interactions and cooperation should be emphasized during the application of the OMO mixed mode.Varieties of web resources can be flexibly and effectively utilized as well as the breadth of oral language materials should be broaden.Finally, the paper also points out some problems that need noticing in order to improve the application effect of the OMO mixed mode.
Automating the Creation and Placement of Objects in a Scene using Python Scripting in Autodesk Maya

This hands on lab will use Python scripting in Maya to automate the creation and placement of objects in a scene.
Blockchain Technologies

Blockchain technology has proven to be particularly effective at securely processing distributed transactions. They may be used to handle bitcoin coins and smart contracts, among other things. Blockchain has lately being investigated for data science applications. This study looks at blockchain technology and how it can be used in data science and cyber security. Blockchain allows for the transmission of value at a minimal cost, allowing data from smart devices to be used to generate economic value. The goal of this study is to create a high-performance blockchain platform that uses technologies such distributed network architecture, intelligent device node mapping, and the PBFT-DPOC consensus algorithm to achieve intelligent device decentralisation. The impact of network delay on blockchain forking behavior, as well as probable violations of the six confirmations convention for transaction approval, are investigated in this research. We reduce the blockchain's data structure to speed up our simulations and avoid the massive processing necessary in proof-of-work systems (POW). We demonstrate that the six confirmations standard is sensitive to peer-to-peer network delay through simulation, as well as how quickly it is violated with a lower difficulty of POW mining.
Dissipative Preparation of Generalized Bell States with the Sørensen-Mølmer Setting

Quantum entanglement is an important resource in quantum information processing tasks, such as quantum cryptography, quantum teleportation, and quantum computation. The main obstacle to faithful and reliable preparation of entangled states is environment-induced decoherence. Dissipative transition of a general quantum state to an entangled steady state provides an effective strategy to protect entanglement from decoherence, where the decoherence converts into an essential resource. In this paper, we put forward a scheme to prepare generalized Bell states based on trapped ions, in which unitary dynamics and spontaneous emission are combined to drive an arbitrary quantum state in the ground-state space to a unique steady state. The scheme is realized by using the renowned S\o{}rensen-M\o{}lmer setting and is therefore compatible with current experimental technology. Moreover, the vibrational degree of freedom is decoupled from the unitary dynamics so that the scheme does not need to cool the collective vibrational mode to its ground state and thus it works for thermally excited states. Besides, our scheme is demonstrated to be insensitive to variations of some parameters with the aid of numerical simulation.
Metadata Development

Dahlgren Memorial Library (DML) is the graduate health and life sciences library for Georgetown University Medical Center and serves a wide population. The library is 99% electronic and boasts a robust collection of electronic resources, such as ebooks and Springshare LibGuides. DML began subscribing to LibGuides in 2009 and since had accumulated 8,000 assets. Over 4,000 of the assets were links from an A–Z eBooks Guide created for all of the ebooks in DML’s collection. After some analysis, the assets showed low statistics, duplication, and old metadata. With the introduction of an eBooks Highlight Collection in 2021, there came organization, new methodology, and ultimately a reduction of assets in the library.
Reading Motivation of Young ESL Learners in Brunei Darussalam

In recent years, a large number of nations across the globe have shown an increasing focus on developing lifelong readers within their education system. To cultivate lifelong readers, research has found the importance of engaged reading. To encourage engaged reading, studies have found that apart from instructional practices that focus on cognitive competency (skills to read), a child’s motivation to read (will to read) too plays a pivotal role in this area. However, little attention has been given to ESL learners’ motivation to read, especially that of young ESL learners. To explore this, this study looks into the motivation to read of 13 young ESL learners from 3 government schools in Brunei. The students in Year 4, aged between 9 to 10 years old, were interviewed on their habits and motivations to read in English to provide an insight into the factors influencing their reading motivation. The questions posed to students were adapted from the conversational interview questions of Gambrell et. al .’s (2013) Motivation to Read Profile-Revised Questionnaire. The interviews were audio-recorded and transcribed. The transcriptions were analysed and coded using the principles of the Constant Comparative Method, where eventually themes and sub-themes were derived. From the analysis, findings suggest that young ESL learners’ motivation depends on the following: self-competency beliefs, reasons for reading, environment, and access to engaging reading resources. The study gives an understanding of factors influencing young learners’ reading motivation, which in turn can inform stakeholders on the choice of reading pedagogy to help young learners become better and engaged readers.
Interface and Inference of policy between data and intellectual property regulatory system

This study focuses on the need to refer to or apply analogy to the intellectual property system that is most similar in essence to data for the effective establishment of non-personal data regulatory policies, which are gaining importance with the advent of the data economy era. In order to establish a virtuous cycle structure of the ecosystem, it is intended to compare the coordinates of a desirable data policy with the intellectual property regulatory system. To this end, we first explore the nature of data and intellectual property and the interface between the two regulatory systems. First, consider the nature of data and intellectual property: i) ‘data as intellectual property (IP)’ (comparative review with data and intellectual property’s subject matters such as inventions, works), and conversely ii) ‘intellectual property as data’ (The informational nature of intellectual property) is understood by considering both aspects. Next, the interconnection link between the IP system and the data regulation system will be examined, taking into consideration what points can be applied by analogy from the characteristics of the established intellectual property protection system. First, after i) analyze the characteristics of the intellectual property protection system, ii) analyze the commonalities and differences in the nature of information and seek contact points iii) check in the context of a common policy structure of creation, protection, utilization and foundation.&#x0D; In data policy establishment, a system that can be inferred from the intellectual property system should be able to support the maintenance and development of the data ecosystem virtuous cycle structure. After comprehensively examining the factors that can be inferred and applied from the IP system, additionally, a few topics such as i) Collective ownership of IP and the concept of total sharing data ownership ii) Non-voluntary license and forced sharing of data iii) Implications of the collective copyright management system through trusts will be discussed in more detail.
Anyonic two-photon statistics and hybrid entanglement with a semiconductor chip

High-dimensional entangled states of light provide novel capabilities for quantum information, from fundamental tests of quantum mechanics to enhanced computation and communication protocols. In this context, the frequency degree of freedom is attracting a growing interest due to its robustness to propagation in optical fibers and its capability to convey large scale of quantum information into a single spatial mode. This provides a strong incentive for the development of efficient and scalable methods for the generation and manipulation of frequency-encoded quantum states. Nonlinear parametric processes are powerful tools to generate such states, but up to now the manipulation of the generated frequency states has been carried out mostly by post-manipulation, which demands complex and bulk-like experimental setups. Direct production of on-demand frequency-states at the generation stage, and preferably using a chip-based source, is crucial in view of practical and scalable applications for quantum information technologies. Here we employ parametric down-conversion in an integrated AlGaAs chip to engineer the wavefunction and exchange statistics of frequency-entangled photon pairs directly at the generation stage, without post-manipulation [1]. Tuning the pump spatial intensity allows to produce frequency-anticorrelated, correlated and separable states, while tuning the spatial phase allows to tailor the symmetry of the spectral wavefunction. As revealed by Hong-Ou-Mandel interferometry, this allows to simulate either bosons, fermions, or anyons, i.e. particles displaying a fractional exchange statistics intermediate between bosons and fermions [2]. Finally, we show that the frequency entanglement can be combined with the polarization entanglement of our source to produce hybrid frequency-polarization entangled states [3], leading to quantum beating in two-photon interference. These results, obtained at room temperature and telecom wavelength, open promising perspectives for implementing quantum simulation tasks with tailored wavefunction and particle statistics in a chip-integrated platform. [1] S. Francesconi et al, Optica 7, 316 (2020). [2] S. Francesconi et al., ACS Photonics 8, 2764 (2021). [3] S. Francesconi et al., in preparation.
The Poetics and Politics of Ambiguity

The use of the harmonic series as a pitch-generating resource is a significant trend in twentieth- and twenty-first-century composition. While the principle of equal temperament prioritizes an additive understanding of intervals, the harmonic series implies a ratio-based approach to pitch relationships. Despite these philosophical differences and the sometimes polemical debates that have attended to them, the works of Julian Anderson (1967–) and Rand Steiger (1957–) draw simultaneously on overtone-based and equal-tempered harmonic thinking. These two composers are part of a group of musicians who have proposed various hybrid approaches to harmonic construction, and their works are also notable for playing out interactions between these influences in ways that reflect the composers’ political concerns. In this paper, I combine examinations of Anderson’s and Steiger’s characteristic harmonic strategies with close analyses of two quartertone-based works: Anderson’s Eden (2005) and Steiger’s Post-truth Lament (2017). I use these discussions to consider the pieces’ diverse political resonances. Ultimately, I argue that their hybrid harmonic approaches serve to highlight the multifaceted implications of ambiguity—not only its musically generative potential, but also its capacity to transform contemporary political life in ways both corrosive and constructive.
Security Risks in Environments of Cloud Computing

Cloud computing is a model for enabling service user’s ubiquitous, convenient and on-demand network access to a shared pool of configurable computing resources. The security for Cloud Computing is emerging area for study and this paper provide security topic in terms of cloud computing based on analysis of Cloud Security treats and Technical Components of Cloud Computing.
2&lt;sup&gt;nd&lt;/sup&gt; Attitude Survey on Female Students of Shibaura Institute of Technology

The 2nd Female Students Attitude Survey was conducted in 2020. The survey results, firstly, made clear that in order to expand the access of female students, it is important to have an interest in and motivation for science and mathematics subjects in secondary education. Secondly, it became clear that female students are raising their career consciousness. The number of female students who have the plan to go on to graduate school has increased, and the reason has changed from interests to career development. However, increasing career consciousness has also increased the importance of role models for female students. Further efforts in this regard are needed.
Stroke Based Painting with 3D Perception

Generation of stroke-based non-photorealistic imagery is an important problem in the computer vision community. Existing stroke-based rendering algorithms are based on minimizing the difference between the input image and the output image. However, human painter artistry emphasizes creation based on 3D prior information rather than simply reproducing input images. To better simulate the painting process of human painters, this paper presents a novel solution by introducing 3D perception into 2D painting tasks. A perception network and an interactive rendering agent are designed to obtain attractive rendered pictures with enhanced details. Then, a Bi-level painting agent based on reinforcement learning transfers the rendered images into stroke sequences with oriental ink style. Compared with existing algorithms, our method is superior to others in texture quality and user evaluation. Ablation study and user study demonstrate the effectiveness of the proposed method, the results show that our method is superior in style and detail quality compared with baseline methods.
Practice and Evaluation of Design Engineering Education Introducing Prototyping Method

In the process of designing a modern product, the demands of industrial designers and engineers may conflict. The profession called design-engineer can resolve the conflict. In this study, we proposed a design-engineering-oriented educational method for industrial designers, and introduced it into a postgraduate course. It was objectively confirmed that industrial designers’ experience of engineering development facilitated their understanding of technical difficulty and improved their ability to collaborate with engineers.
The Reaction of Students in PBL Using Design Thinking and the Effect of Promoting Efforts Through Team Teaching (Third Report)

PBL (Project Based Learning) is well suited for manufacturing classes. Incorporating a problem-finding element will broaden the scope of completion of the assignment and the sense of accomplishment of the students. However, it is difficult to set the difficulty level of the task, and the design and manufacturing process is prolonged, making repetitive learning difficult. Therefore, a new PBL subject to learn about products and development processes was considered, and the practice and results were reported. In the first report, the educational effectiveness of this subject was confirmed by analyzing the students’ responses to this subject. In the second report, three types of questionnaires were used to confirm changes in students’ attitudes and behaviors due to repeated learning from the perspective of surface and deep psychology. In this report, teachers approached students who were different from previous years as competitors. The impact of this approach on students’ motivation, activities, and artifacts was investigated, and the changes in students were confirmed.
Data Science Education Focused on Statistics

Data science is said to be a complex science of mathematics, statistics, and informatics. In recent years, data science has been expected as a method of decision making based on big data, but this is mainly in the field of informatics. On the other hand, from an engineering point of view, it is necessary to obtain some knowledge with a small amount of data, which can be said to be the field of statistics. Statistics is often educated as a field of mathematics, but it is essentially inductive reasoning, and a part other than mathematics is also important. For this reason, it is desirable that data science education in engineering should be conducted in a well-balanced manner in the three fields of mathematics, statistics, and informatics.
Expressive Apologies: Being Socially Responsible Firms

Studies in Corporate social responsibility often focus on firms’ routine ESG (Environmental, Social, and Governance) practices. In our paper, we highlight that an apology is another way of taking social responsibility that manages perceptions of responsibility towards firms facing external accusations. We posit that firms’ expressive orientation towards social responsibility and their relationship with local communities would influence their usage of apologies and their sensitivity to situational factors such as publicity. We verified our hypotheses through an empirical examination of Fortune Global 500 companies’ apologies in China.
Dissolving Organizational Bounds - Does Blockchain Digitalize Trust?

The purpose of this paper is to gain an understanding of the practicality in using blockchain to share information across organisational boundaries. Previous research has shown trust plays an essential role in information-sharing, but this is not evident in current blockchain literature, which this paper seeks to change. First, the importance of trust in information-sharing is presented by summarizing current literature´s take on the role of trust in information-sharing activities in the supply chain through which an analytical framework is presented. Following this methods used for acquiring the primary data from the wind industry, the secondary data from blockchain literature and the method used for analysing said data through thematic analysis are explained. The empirical case of the wind industry is then presented and analysed by presenting the identified themes of 1) product update handling and master data; 2) transparency and traceability; and 3) collaboration. The trust framework presented in the theoretical background is then used to analyse the contents of the themes and the wind case. This leads to the first set findings for the paper; for supply chain-based blockchain to be successful trust must be a pre-requisite for the involved parties, but in addition blockchain also facilitates trust through information-sharing, thus making trust and outcome of blockchain as well. Finally, the paper discusses how blockchain currently ties to operational interactions and not those related to tactical or strategic interactions.
Examining Relation among Entrepreneurial Leadership, Innovative Work Behavior, &amp; Innovation Support

Due to the increased competition in today’s business world and industrial revolution 4.0, many small and medium enterprises (SMEs) undergo swift and vigorous changes. For this reason, SMEs were expected to pay their attention to innovative work behaviors (IWB) to ensure survival in the competitive world. This research evaluates the effect of entrepreneurial leadership (EL) dimensions (including communicative, motivational, strategic, and personal) on innovative work behavior (IWB) of people employed in SMEs of Oman. Moreover, mediating role of innovation support (IS) is examined on the relationship of entrepreneurial leadership (EL) and innovative work behavior (IWB). Data were collected through personally administered survey questionnaires from the population of SME sector employees and managers in Oman. A total of 211 usable responses were collected and then further analyzed through SmartPLS 3.3.3 (PLS-SEM) software while a two-stage reflective-formative analysis of higher-order and lower-order constructs was conducted. The results exhibit that entrepreneurial leadership and innovation support have a significant positive impact on innovative work behavior (IWB). Additionally, a mediating role of innovation support was also confirmed on the relationship between EL and IWB. All four dimensions of entrepreneurial leadership (EL) were reported with a substantial direct and indicted effect on innovative work behavior (IWB) of people employed in SME sector in Oman. This is a pioneer study in Oman that examined the influence of entrepreneurial leadership (EL) dimensions on innovative work behavior (IWB) and mediating role of innovation support using a reflective-formative higher order analysis. Finally, practical and theoretical implications along with future research directions were suggested at the end of this research.