Reviewerly/exHarmony huggingface dataset:
Students' Learning Experiences using Three-Dimensional Design Software (Adobe Dimension) for Virtual Mock Store Design

<p class="MsoNormal" style="margin: 0in; font-size: medium; font-family: Calibri, sans-serif; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><span style="font-size: 11pt; font-family: &quot;Times New Roman&quot;, serif;">Students at a Midwestern university completed the plan-o-gram project as a part of the visual merchandising course using Adobe Dimension.&nbsp;<u1:p></u1:p></span><span style="font-size: 11pt; font-family: &quot;Times New Roman&quot;, serif; color: black;">Through this project, students learned how 1) to design virtual store spaces, 2) to build a floor plan with a purposeful store layout, 3) to visualize and decorate the store using use proper mannequins, props, and furniture, 4) to enhance overall store ambiance, by integrating diverse learned contexts.</span><span style="font-size: 11pt; font-family: &quot;Times New Roman&quot;, serif;">&nbsp;Adobe Dimension was beneficial software for the plan-o-gram project because of its flexibility to build an infinite number of floor plans and store designs. It also enhanced students’ learning experiences with a great potential to integrate it with Augmented Reality (AR) store spaces. However, a high spec of hardware and the purchase of subscriptions for the various choice of assets (objects) from Adobe stocks will enrich their learning experiences.&nbsp;<o:p></o:p></span>
Exploring students’ perceptions and applications of 3D virtual technology during the COVID-19 pandemic

<p class="p1" style="margin-bottom: 0px; font-variant-numeric: normal; font-variant-east-asian: normal; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;; color: rgb(0, 0, 0);">The study examined factors influencing students’ adoption intention of 3D virtual prototyping technology and explored their holistic views on its application during the Covid-19 pandemic. In the SEM results, both functional and experiential values (perceived usefulness and perceived enjoyment) significantly influenced students’ adoption intention of 3D virtual prototyping technology. The Covid-19 pandemic caused students to perceive 3D virtual prototyping technology as an alternative to present garments while conforming to remote working protocols. Moreover, they considered 3D virtual prototyping technology as a facilitator to make them suitable job applications in the digital transformation era.
DESIGN OF POST SKILL TRAINING PROGRAM FOR HIGHER VOCATIONAL REAL ESTATE MARKETING UNDER THE BACKGROUND OF "NEW RESIDENCE DIGITALIZATION"

Under the background of new residential digitalization, higher vocational real estate professionals need to have applied skills such as market analysis, marketing planning, product sales, and customer management capabilities. How to cultivate real estate professionals who meet the needs of the development of the digital economy has become a difficult problem in front of our colleges and universities. This paper takes the combination of work and learning as the training mode, and carries out the professional skills training of real estate marketing through the combination of virtual enterprise and real enterprise, virtual network and real network, using “three penals”, “three clues”, “three stages”, “three locations” and “three task-based orientations”. By the above means, we are to found a training –teaching process of “point to face”, “line to face” and “face to tridimention”.
A Transformer Seq2Seq Model with Fast Fourier Transform Layers for Rephrasing and Simplifying Complex Arabic Text

Text simplification is a fundamental unsolved problem for Natural Language Understanding (NLU) models, which is deemed a hard-to-solve task.Recently, this hard task has aimed to simplify texts with complex linguistic structures and improve their readability, not only for human readers but also for boosting the performance of many natural language processing (NLP) applications.Towards tackling this hard task for the low-resource Arabic NLP, this paper presents a text split-and-rephrase strategy for simplifying complex texts, which depends principally on a sequence-to-sequence Transformer-based architecture (which we call TSimAr).For evaluation, we created a new benchmarking corpus for Arabic text simplification (so-called ATSC) containing 500 articles besides their corresponding simplifications.Through our automatic and manual analyses, experimental results report that our TSimAr evidently outperforms all the publicly accessible state-of-the-art text-to-text generation models for the Arabic language as it achieved the best score on SARI, BLEU, and METEOR metrics of about 0.73, 0.65, and 0.68, respectively.
Improving Student Academic Performance through Knowledge Sharing

The study aims to find empirical evidence regarding the positive influence of social network variables and information and communication technology variables on knowledge sharing.The study also aims to find empirical evidence regarding the positive influence of knowledge sharing variables on student academic performance.The population of the study were all students at universities in the City of Semarang, Central Java, Indonesia.Meanwhile, 296 samples were taken using the quota sampling method.Data processing was carried out using Structural Equation Modeling-Partial Least Square (SEM-PLS) with the help of the WarpPLS application.This study succeeded in proving that social network variables and information and communication technology variables positively influenced knowledge sharing.The study also found empirical evidence that knowledge sharing has a positive effect on student academic performance.The research has theoretical and practical implications.From the theoritical implication, the findings give clearer description about the relationship among variables used in the current research.From the practical one, the findings can be used by main stakeholders to improve academic performance by increasing knowledge sharing activities.The study also has limitations and future research agendas.
Linear Systems, Convolution, and Filtering

The representation of signals in both the time and frequency domains is extremely important, and this is exactly why two chapters have been devoted to this subject.
Employing Read-Aloud Instructional Strategy to Transform Reading Attitudes of ESL Leaners

This study focuses on the influence of read-aloud instructional strategy on the reading attitudes of elementary school students in Pakistan.The study was experimental, where a read-aloud instructional strategy was used to investigate its influence on reading attitudes of elementary students.Thirty students (aged 7-8 years) were selected as intact groups of 15 each for the experimental and control group, respectively.The read-aloud strategy of storytelling was used as an intervention for the experimental group for the entire academic year, whereas the control group was taught with a traditional oral storytelling method.Data for reading attitudes were collected through a questionnaire identifying the reading habits and practices of the elementary students.The mean differences in the pre-test and post-test results of the reading attitude questionnaire of both groups were compared using independent sample t-test, and paired sample t-test.The effect size was also calculated with a 95% confidence interval.The findings of the t-test and gain scores reveal significant statistical differences, indicating the effectiveness of the read-aloud technique in increasing the attitude to learn and read in English.A systematic and repeated read-aloud technique is proven by research to improve reading comprehension and vocabulary development in young learners.The read-aloud strategy is unique as it creates a classroom community of learners based on a story theme that forms the basis for developing language skills.
Cybersecurity Risks and Central Banks’ Sentiment on Central Bank Digital Currency: Evidence from Global Cyberattacks

This paper distinguishes two types of cybersecurity risks—emerging risks from the private sector and systematic risks to the financial system—and examines their impacts on central banks’ sentiment on CBDC in a context of global cyberattacks. We find that central banks’ sentiment toward CBDC shifted positively following increased losses from cyberattacks on crypto assets, which implies that central banks believe CBDC could be a public solution to protect consumers from risks arising from the private sector. However, their sentiment toward CBDC significantly declined following more active cyberwarfare attacks, which could pose systematic risks to the national financial system.
Parallel applications or claims

Article 6 of the Singapore Convention refers to the parallel proceedings for the execution of iMSAs. It indicates the postponement of enforcement in face of the challenge of iMSAs in a parallel forum. This text intends to investigate whether the responses to Article 6 allow combating the inconsistency of the effects of parallel decisions regarding the recognition and enforcement of iMSAs.
Quantitative evaluation of extensive vulnerability set using cost benefit analysis

The significant expansion in network size to support new paradigms such as cloud computing, IoT (Internet of Things), etc. together with the exponential increase in vulnerabilities has challenged the existing security mechanisms greatly. These challenges have opened many avenues for research in network security. However, while attack graphs play an important role in analyzing vulnerabilities, analyzing large attack graphs itself is a major issue. Therefore, it is necessary to extract only the critical part of the attack graph. Although technologies have been developed for attack path characterization, there is a lack of hybrid technology that can differentiate between similar behavior attack paths. We have proposed a cost-based path characterization technique that takes the attack node's vulnerability complexity into account and significantly reduces the number of vulnerabilities that need to be patched to avoid the major segment of attack graph. Moreover, we have used a real network prototype to validate the performance of the proposed scheme. The proposed scheme works well in cases where some vulnerabilities have similar risk scores. To the best of our knowledge, this is the first time that a cost-effective approach for attack path analysis has been proposed.
Immersive Virtual Tasks with Motor and Cognitive Components: A Feasibility Study of Adults and Older Adult Fallers and Nonfallers

The objective of the present study was to compare the feasibility, safety, and satisfaction of an immersive virtual reality system developed specifically for cognitive-sensory-motor training among older adult fallers and nonfallers and adult individuals. This was a cross-sectional observational study, and 20 adults, 20 nonfaller older adults, and 20 faller older adults were assessed. The primary outcome was feasibility assessed with safety and satisfaction measures. Safety outcomes were associated with adverse events occurred during the experience with the immersive virtual reality system (IVRS), assessed through the Simulator Sickness Questionnaire and by registering the falls, pain, or any discomfort reported by the participants. Satisfaction was assessed with a structured questionnaire, answered after 10 minutes of experiencing the IVRS. The dates were assessed with one-way analysis of variance or the Kruskal–Wallis test and Bonferroni post hoc test. The results showed that the IVRS was safe and the participants related good satisfaction with the system. Most of participants related no symptoms (93.6 percent) or light cybersickness symptoms (6.0 percent). There were no occurrences of falls or pain associated with the IVRS. The IVRS was feasible for adults and nonfaller and faller older adults.
Elon Musk’s Twitter Blue fiasco: Governments need to better regulate how companies use trademarks

&lt;p&gt;[First paragraphs]: "Until recently, Twitter’s blue checkmark logo was (for better or worse) a trusted mark of authenticity. But under the façade of democratizing the platform, Elon Musk allowed the blue checkmark to be purchased by anyone — &lt;a href="https://theconversation.com/impersonation-and-parody-shitposters-satirically-mock-elon-musks-chaotic-twitter-takeover-194503" target="_blank"&gt;&lt;u&gt;with unsurprisingly chaotic results&lt;/u&gt;&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;Impersonators soon made use of the blue checkmark, with negative consequences for those brands, companies and public figures who had their Twitter accounts impersonated."&lt;/p&gt; &lt;p&gt;Article also appeared in the &lt;a href="https://nationalpost.com/pmn/news-pmn/elon-musks-twitter-blue-fiasco-governments-need-to-better-regulate-how-companies-use-trademarks" target="_blank"&gt;National Post&lt;/a&gt;.&lt;/p&gt;
Careers: Eugene H. Spafford: He's been fighting cybersecurity threats for decades

During Eugene H. Spafford's more than three decades as professor of computer sciences at Purdue University, in West Lafayette, Ind., he has made groundbreaking contributions to computer and network security. A member of the Cyber Security Hall of Fame, he is considered one of the most influential leaders in information security.
Distributed Technologies and Consensus Algorithms for Blockchain

Centralized and decentralized systems are prone to security breaches while storing private data. It is challenging to establish trust when an administrator is not known. Blockchain-based technologies use distributed ledgers that can be trusted, audited, validated, and verified by network nodes. The assets stored in a blockchain are immutable, timestamped, and cannot be tampered because of the integrated cryptographic mechanisms. Consensus algorithms are used to validate the transactions and blocks stored in a blockchain. Multiple research reviews focus either on various application domains of blockchain or comparative study of consensus algorithms or security aspects. This chapter aims at providing a comprehensive review on blockchain technologies, performance metrics, and guidelines for choosing a blockchain technology and consensus algorithm based on an organization's requirements and protocols. This chapter also captures concepts on blockchain types, consensus algorithms, and typical applications of blockchain with its features.
A Radical Image Steganography Method Predicated on Intensity and Edge Detection

The internet has grown to be widely used by billions of individuals in our digital age. The internet is required for a variety of platforms, online apps, and standalone applications. Numerous methods, including cryptography, encryption/decryption, and data concealment algorithms, are developed for this goal. However, the employment of these methods was not very secure, making it simple for hackers to get the secret message. A new method called “steganography” was developed to offer the highest level of protection for sensitive data. Steganography's primary goal is to conceal the presence of concealed messages. Additionally, it seeks out concealed messages using factors like the kind of embedding method, the message's length, its content, or the carrier's secret key. At this point in the chapter, a single bit of data has been embedded into edge-based pixel positions with arbitrary bit positions. The authors have compared their method to three standard edge detection algorithms for a more comprehensive assessment. Different statistical measures also have been made for the uniqueness of the technique.
Bitcoin and the Academy

Bitcoin emerged from an anonymous creator who brought together several different academic disciplines with history in academic research, such as economics, computer science, and mathematics. The genius of Bitcoin was combining these disciplines into a single economic system. Part of the reason the academy has resisted Bitcoin adoption is that it is unsuited to this kind of interdisciplinary innovation. Economists and computer scientists do not understand one another’s disciplines deeply enough to create something like Bitcoin. For future radical innovations, the academy must reorganize around interdisciplinary innovation by breaking down disciplinary barriers to allow mixing in novel ways.
The choice of degrees of freedom of automatic refueling manipulator

Abstract Traditional artificial gas station come on all the required 5 to 6 minutes, peak even 10 minutes or so, along with our country automobile holdings continued to increase, how to improve fuel efficiency become an important problem of gas station, according to the above problem, non-inductive refueling “AI” is put forward to cooperate with mechanical arm instead of artificial gas, this scheme can make the refueling time reduced to 3 minutes, Greatly improve refueling efficiency, and reduce labor costs. The manipulator adopts a tandem joint robot with a 2-DOF BB wrist at the wrist and a fixed base, which is driven by the servo motor of each joint as a whole. The end-effector is equipped with a cap opening device, a clamping device and an oil feeding device to open the oil tank cover, unscrew the seal plug and oil feeding tasks respectively.
Exact sciences and the semiotics of existence

We have to ask first why exact and natural sciences have so modest place in Tarasti’s theories. The answer is in the role of subject and subjectivity. At first sight it may seem to be ignored in scientific discourse, but in fact it is strongly present. One may list fields of subject to be studied: nature of scientific creativity, emergence of meaning in exact sciences, scientific approach to the problem of existence and infinity, presence of transcendence. All these involve semiotic problems. Yet, since Galilei and Newton, scholars are used to separate subject and object. In fact, Niels Bohr, Werner Heisenberg and Martin Heidegger all worked in the 1920s and were able to distinguish subject and object, often one obscure and the other clear. Like Gilbert Durand says about conscious and unconscious. In speech act theory sign becomes itself an object. Self-referential approaches take place when communication of the world (primary communication) turns into communication of communication (higher order communication). Meaning emerges often via metaphors which have a creative power. Jacques Hadamard saw similarity between psychology of mathematics and how Mozart represents musical creativity in his letters. In Tarasti’s theory the moment of illumination is crucial and so it is as well in mathematics like Henri Poincare said. There is also the issue of irrationality: how signs emerge after all. By transcendence ultimately we encounter high spirituality, high complexity and high surprise. We can prepare a list of types of existence and the semiotic one among them.
Autonomous landing algorithm of UAV based on Target tracking

Abstract The target tracking technology in the UAV autonomous landing process is studied. Based on the analysis of the occlusion, background change, and variable scale problems in the target tracking process, a scale adaptive method for UAV target tracking based on KCF (Kernelized Correlation Filter) algorithm is proposed. The original KCF target tracking framework is adopted to achieve the target position prediction function. Secondly, to address the variable scale problem of moving targets and the target loss problem caused by scale changes, the scale filter of the DSST target tracking algorithm is used. The algorithm is for estimating the scale of moving targets and generating a small-scale filter estimate to improve the tracking efficiency of the UAV for moving targets and reduce the target loss rate. The final test on the OTB dataset showed a 4% improvement in variable scale accuracy and a 2.9% improvement in variable scale success rate. A Gazebo 3D environment scene was set up under the Linux system, and UAV autonomous landing simulation experiments were conducted to verify the improved algorithm’s real-time effectiveness in the UAV autonomous landing application. The simulation results show that the improved KCF target tracking algorithm has real-time performance in the UAV autonomous landing trajectory tracking process.
Some Applications of the Primary Accent First Parameter

We demonstrate two applications of Primary Accent First, a proposal by Harry van der Hulst that a main stress can be put down at a word edge independently of metrical structure that may be set up later. First, we show how Primary Accent First solves a problem in assigning metrical structure in Old English and other West Germanic languages. In these languages, which have trochaic feet, main stress is assigned to a word-initial syllable (apart from some prefixes) whether it is heavy (H) or light (L). The problem, however, is that a legal trochee cannot be constructed in a word whose first two syllables are L H. Primary Accent First allows us to assign a stress to the first L without constructing a foot; subsequently, this initial L can be resolved with a following L or H in an extended trochee in which the foot head is associated with at least two moras. We show how our analysis extends to West Germanic Gemination and Sievers’s Law. Second, we show how Primary Accent First contributes to an improved learnability model for metrical stress by enabling learners to benefit from a fixed main stress which acts as a Trubetzkoyan boundary signal.
DTM 2022 Abstracts

Restricted accessAbstractFirst published online March 7, 2023DTM 2022 AbstractsVolume 17, Issue 2https://doi.org/10.1177/19322968221150148
Dipendenze, empowerment, lavoro: attivazione di un'esperienza di laboratorio ispirata alla metodologia dell'Individual Placement and Support presso un Servizio delle Dipendenze

Addiction also has important consequences on the work sphere. This paper deals with a job search workshop inspired by the Individual Placement Support method. The results obtained in the nine months of experimentation on a small group of drug users appear promising, especially if one considers the proposed activity, which is a low-cost service for the Department of Drug Abuse.
Uncertainty and Risk: Investigating Line Graph Aesthetic for Enhanced Cybersecurity Awareness

Cybersecurity has never been more important than now (during/post-COVID-19 pandemic). In 2020, we experienced a global shift to remote work and many businesses had to adopt new technologies to facilitate this remote operation. With this change, there was not only the increased risk of exposure to new types of cyber attacks but also a lot of questions around how we should deal with these attacks. In particular, how do we present and visualise these new uncertainties and risks to ensure a more heightened cybersecurity awareness. This paper focuses on the use of lines and, in particular, how the advancement in the aesthetic of the line could afford enhanced cybersecurity awareness. The results from a large study showed the influence of design element colour and design principle emphasis to portray intuitive visual warnings of uncertainty. Moreover, we found that the use of unanticipated colours paired with aesthetic qualities can afford a stronger impression of dangers and risks as opposed to those conventionally associated with danger. In terms of cybersecurity visualisations, these findings show that advanced line aesthetics have the power to nurture a heightened cybersecurity awareness. Furthermore, portraying the potential to encode further warnings and information into cybersecurity visualisations that employ the use of lines (i.e. force directed graphs).