Reviewerly/exHarmony huggingface dataset:
Semi-Supervised Adaptation for Skeletal-Data-Based Human Action Recognition

Recent research on human action recognition is largely facilitated by skeletal data, a compact representation composed of key joints of the human body. However, leveraging the capabilities of artificial intelligence on such sensory input imposes the collection and annotation of a large volume of skeleton data, which is extremely time consuming. In this paper, a two-phase semi-supervised learning approach is proposed to surmount the high requirements on labeled skeletal data while training a capable human action recognition model adaptive to a target environment. In the first phase, an unsupervised learning model is trained under a contrastive learning fashion to extract high-level human action semantic representations from an unlabeled source dataset. The resulting pretrained model is then fine-tuned on a small number of properly labeled data of the target environment. Experimentation is conducted on large-scale human action recognition datasets to evaluate the effectiveness of the proposed method.
Consortium Blockchain-based Measurement Data Trusted Sharing and Interaction in New Power System

Abstract The trusted sharing and interaction of power measurement data are crucial in developing new-type power systems. However, there are some problems, such as complex interaction environments and data privacy leaks in the flow process of electric measurement data. We first design a measurement data sharing and interaction information uplink storage scheme based on consortium blockchain certificate storage. Then, a credibility-based blockchain consensus mechanism is designed to reduce the burden of blockchain storage. The experiment shows that the proposed method performs better in sharing power measurement data.
Categories of abelian varieties over finite fields II: Abelian varieties over $${\mathbb{F}_q}$$ and Morita equivalence

Abstract The category of abelian varieties over $${\mathbb{F}_q}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>F</mml:mi> <mml:mi>q</mml:mi> </mml:msub> </mml:math> is shown to be anti-equivalent to a category of ℤ-lattices that are modules for a non-commutative pro-ring of endomorphisms of a suitably chosen direct system of abelian varieties over $${\mathbb{F}_q}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>F</mml:mi> <mml:mi>q</mml:mi> </mml:msub> </mml:math> . On full subcategories cut out by a finite set w of conjugacy classes of Weil q -numbers, the anti-equivalence is represented by what we call w -locally projective abelian varieties.
Juegos con propósito para la anotación del <i>Corpus Oral Sonoro del Español rural</i>

Abstract The study of dialectal microvariation in spoken Spanish faces challenges due to the absence of an adequate morpho-syntactically annotated and parsed corpus. Therefore, this article introduces a novel technique, a game-based approach, for creating resources for non-standard Spanish language varieties. The article provides an overview of the progress in designing three Games With A Purpose ( GWAPs ) prototypes, to wit , Agentes, Tesoros , and Anotatlón . These games aim to facilitate the confirmation and correction of the morpho-syntactic tagging task of the COSER-AP ( Corpus Oral y Sonoro del Español Rural-Anotado y Parseado , ‘Annotated and Parsed Audible Corpus of Spoken Rural Spanish’). First, the article presents the methodology used to build the games. Second, it offers a detailed description of the implemented Game Design Elements ( GDEs ). Finally, the article discusses the results of a pilot evaluation that assesses player enjoyment and the linguistic accuracy. Findings are promising, with Tesoros and Anotatlón demonstrating high levels of enjoyment. Additionally, Agentes proves to be effective in collecting a large number of annotations. The linguistic accuracy also shows potential benefits of gamified approaches in linguistic annotation tasks. However, it also emphasizes the importance of considering regional in player assessment and training them in multidialectal contexts.
State Evaluation of Secondary Equipment Based on Matter-Element Extension Theory

Aiming at the problems of single evaluation index, strong subjectivity and lack of accuracy of evaluation results in the traditional evaluation model of secondary equipment in power system, a comprehensive evaluation method of secondary equipment operation status based on matter-element extension theory is proposed. First, build a comprehensive evaluation index system for the operation status of secondary equipment. Secondly, the subjective and objective weights of the evaluation indicators are calculated based on the attribute hierarchy model and the anti-entropy weight method. On this basis, the combined weights are calculated using the cooperative game model. Finally, based on matter-element extension theory, a comprehensive evaluation model of secondary equipment operation status is built. The case analysis shows that this method can improve the rationality and accuracy of the secondary equipment condition evaluation results, and provide effective assistance for the operation, maintenance and repair of secondary equipment.
Model-Based DevOps: Foundations and Challenges

Time-to-market and continuous improvement are key success indicators to deliver for Industry 4.0 Cyber-Physical Systems (CPSs). There is thus a growing interest in adapting DevOps approaches coming from software systems to CPSs. However, CPSs are made not only of software but also of physical parts that need to be monitored at runtime. In this paper, we claim that Model-Driven Engineering can facilitate DevOps for CPSs by automatically connecting a CPS design model to its runtime monitoring, in the form of a digital twin.
Introducing BIGUML: A Flexible Open-Source GLSP-Based Web Modeling Tool for UML

Unified Modeling Language (UML) plays a crucial role in software development by providing a standardized notation for visualizing, specifying, and documenting system architectures. Traditional UML modeling tools often follow a rich client approach and suffer from limitations such as steep learning curves and restricted extensibility. Usually, those tools are also proprietary and constrained to specific platforms. This paper presents BIGUML, a flexible, open-source UML modeling tool implemented as a Visual Studio Code extension leveraging the Graphical Language Server Protocol (GLSP) to offer a seamless modeling experience with rich features and enhanced usability. The early release already supports the Class and the Use Case diagram, further UML diagrams will follow soon iteratively. We introduce BIGUML and highlight, how its flexible architecture allowed the integration of custom features, such as the property and outline view, and contextual copy-paste operations. The BIGUML modeling tool is one of the first tools to incorporate GLSP and to be distributed through the VS Code ecosystem.
Consistency in the View-Based Development of Cyber-Physical Systems (Convide)

Cyber-Physical Systems (CPS) integrate computational processes with physical processes. Different systems are summarised in this term, from cars, trains, and aircrafts to modern smart home systems. These systems must meet requirements of openness, connectivity, increased software-implemented functionality, flexible configurability, dependability, and resilience, all in a cost-effective way, and during all phases of their life-time. The limitations of current CPS design approaches become obvious when trying to fulfil these requirements simultaneously. The central concept to cope with the ever-increasing complexity of CPS, alongside functional decomposition, is the definition of views which enable the specialisation of developer roles. While dealing with component dependencies is well researched, the unsolved scientific challenge of view consistency is the central reason for the above-mentioned trade-offs between configurability, functionality, dependability, and cost-effectiveness. In the new Collaborative Research Centre (CRC) “Convide”, starting in July 2023, we develop a general, comprehensive understanding of view consistency and mechanisms to detect and, when possible, automatically or interactively resolve consistency violations between views in CPS design. Therefore, we will investigate how to extend, generalise and transfer work in the area of view consistency in software engineering to systems engineering. The project is formed around the methodological core of a so-called virtual single underlying model that has been investigated by the principal investigators. We see a window of opportunity as elaborated meta-models of non-software domains are now being standardised. This gives us the chance to research the extension of software engineering approaches to non-software views of CPS. Prof. Ralf Reussner is the speaker of the project, with members coming from the faculties of Informatics, Electrical Engineering as well as Mechanical Engineering. Furthermore, TU Munich, TU Dresden, and the University of Mannheim participate in the CRC. The centre has a budget of 11 million euros over four years.
Virtual Try-On Networks Based on Images with Super Resolution Model

The main job of a virtual imaging try-on is to transfer a garment to a specific area of an individual’s body part. Trying to deform said garment so that it fits in a part of the desired body. Despite some research, the vast majority use a low-quality image resolution of 192 $$\,\times \,$$ 256 pixels, limiting the visual satisfaction of online users. Analyzing this visual limitation, we find that the vast majority of the algorithms use these mentioned measures to obtain better performance and optimization during their training, since while the number of pixels is smaller, in the same way, their execution time will be less in the generation. of segments or masks of garments and body parts. Despite having better performance and optimization, quality and pixel size are also of the utmost importance, since it is in the final resolution that the result for the user is appreciated. To address this challenge, we propose a super-resolution extension module, added to the ACGPN model. Such a module gets the resulting image from the ACGPN model, and then with the help of computer vision aims to increase the resolution to 768 $$\,\times \,$$ 1024 pixels with minimal loss of quality. For this, a comparison of models that perform this task of increasing the resolution is made. Finally, it is quantitatively shown that the proposal obtains better results.
Socio-pedagogical technologies of social adaptation of orphan students in a higher education institution

The article considers social adaptation as a stage of the process of socialization and internalization, that is, the formation of a person through the assimilation of social norms, values and other components of the social environment, value orientations, entering into the role structures of society; factors influencing the sociopsychological adaptation of orphan students in a higher education institution are determined, namely: social (socioeconomic status and values and morals of society; social groups to which the individual belongs; social conditions; social roles of the individual) and psychological (individual-psychological features and direction of personality, abilities, level of development of self-awareness, emotional sphere, volitional qualities); the system of determinants of social adaptation of orphan students is characterized (communicative abilities, awareness of the need for selfeducation; motivation for the development of social and professional competence, independence skills in educational and scientific spheres, adaptation to the nature, content, conditions and organization of the educational process at the institution of higher education); socio-pedagogical technologies for the social adaptation of orphan students in a higher education institution containing the following structural components are revealed: organizational (creating a work program); programmatic and methodical (adaptation practice, participation in the work of the scientific student community, volunteer squad, etc.); technological (technology for designing an individual educational route for an orphan student, debates, counseling, discussions, trainings, etc.); diagnostic (tracking the effectiveness of the process of social adaptation of orphan students in a higher education institution).
Blockchain Subnets for Track &amp; Trace Within the Logistics System Landscape

The advantages of track & trace solutions to enterprises that move physical goods are widespread. Yet, track & trace solutions are not a standard component of an enterprise’s system landscape. While mostly being triggered by customer requests, track & trace initiatives are often siloed. Seldomly, the entire enterprise and even more rarely the enterprise’s network are considered. The reasons for a siloed implementation of track & trace software are manifold. Different business priorities, adverse data sharing policies, lack of knowledge, and a lack of structured approach are a few to mention. Starting with the structured approach of the digital enterprise architecture (DEA) is a first remedy to these issues. From a technological perspective, embracing a blockchain subnet gives enterprises access to solutions for data ownership, validity, and integrity impediments. The blockchain-based subnet is compatible with a bimodal enterprise architecture. This allows enterprises to connect to their supply chain partners’ logistics systems differently than to their own one. Several steps need to be considered to achieve a functional supply-chain-network-wide track & trace solution. From finding consensus among the blockchain peers to designing the track & trace block, academic input is combined to render the implementation of a blockchain-based track & trace solution possible. From a business perspective linking the requirement catalogue with the purposeful use of the latest technology follows an end-to-end approach.
Challenges of Technology in African Countries: A Case Study of Zambia

The challenges of technology in African countries, with a focus on Zambia, are numerous and complex. While technology has the potential to greatly benefit these nations, it also presents significant hurdles that must be overcome. One of the primary challenges is the lack of infrastructure. Many African countries, including Zambia, have limited access to electricity and internet connectivity. Without reliable power sources and a strong telecommunications network, it is difficult for these nations to fully embrace and utilize technology. This hampers economic development and limits opportunities for education and innovation. Another challenge is the high cost of technology. In many African countries, the average income is low, making it difficult for individuals and businesses to afford expensive technological devices and services. This creates a digital divide between those who can afford access to technology and those who cannot. As a result, many people are left behind in terms of accessing information, job opportunities, and social connections. Additionally, there is a lack of technical skills among the population. While there may be some individuals who are proficient in using technology, overall, there is a shortage of trained professionals who can develop and maintain technological systems. This limits the ability of African countries to fully harness the potential benefits of technology. Furthermore, there are cultural barriers that impede the adoption of new technologies. In some cases, traditional beliefs or practices may clash with modern technological advancements. For example, in rural areas where agriculture is prevalent, farmers may be resistant to using new farming techniques or equipment because they prefer traditional methods passed down through generations. Moreover, cybersecurity threats pose significant challenges for African countries as they strive to embrace technology. With limited resources dedicated to cybersecurity measures, these nations become vulnerable targets for cyberattacks that can disrupt critical infrastructure or compromise sensitive data. Despite these challenges, it is important not to overlook the potential benefits that technology can bring to African countries like Zambia. Technology has already shown promise in improving healthcare delivery through telemedicine initiatives that connect remote communities with medical professionals. It has also facilitated access to financial services through mobile banking, empowering individuals who were previously excluded from the formal banking sector. In conclusion, the challenges of technology in African countries, with a focus on Zambia, are multifaceted and require comprehensive solutions. Addressing issues such as infrastructure development, affordability, skills training, cultural barriers, and cybersecurity will be crucial in unlocking the full potential of technology for these nations. By overcoming these challenges, African countries can harness technology to drive economic growth, improve education and healthcare outcomes, and enhance overall quality of life for their citizens.
Cloud Technologies and Its Impact on the US Health Insurance Claims Process

The advent of cloud technologies has disrupted the US health insurance market and reformed the claims process. The impact of cloud solutions on the effective claims management cost, as well as data security, is discussed in this paper. This paper investigates how cloud computing has impacted health insurance organizations and explores reasons why such practices are so important. Cloud-based tech has been one of the key drivers of improvement in efficiency and quality of healthcare provision as it attempts to meet increasing demands. This implies that a cloud-based claims processing system leads to great efficiencies, eliminating the workload of healthcare providers and decreasing the timeline for claims processing. Moreover, this improves patient satisfaction and cuts down on running expenses. Moreover, it shows the crucial contribution made by cloud technologies towards safeguarding confidential patient information. Patient data is protected by robust cloud security measures and encryption protocols against possible attacks in compliance with standards such as HIPAA. Therefore, these cloud-based technologies will herald in an age of efficiency and safety in health insurance claims processing. The American healthcare industry can capitalize on cloud solutions in offering efficient, cost-effective services while ensuring the security of patients’ data in today’s age of information.
Working with Corpora in Translation Technology Teaching: Enhancing Aspects of Course Design

This chapter offers a discussion of two linked areas that are relevant to the translation technology curriculum. Firstly, in the absence of a suitable cost-effective industry-standard terminology extraction utility—as well as the relative under-representation of this feature in most CAT tools—the Sketch Engine lexical analysis suite of tools has provided our students with a reasonably successful application to use for this purpose. Sketch Engine permits users to create monolingual lists of single- and multi-word candidate terminological items on the basis of ad hoc corpora created from texts that need to be translated, these lists then providing students with a solid starting point from which to create detailed bilingual terminology lists, while a bilingual term extraction function is also provided. Secondly, aware that many CAT tool functions work best when large translation memories are available, but also mindful of the fact that students generally have to start with TMs that are completely empty, we use sources such as the OPUS website as a resource for downloading large corpora to facilitate the creation of very sizable translation memories with great rapidity. In this way, students are able to obtain a much more positive impression of a CAT tool’s concordance tool, for example, and also potentially gain confidence in the tool’s capacity to provide useful fuzzy matches in general.
Investigating the Chinese and English Language Proficiency of Tertiary Students in Hong Kong: Insights from a Student Translation Corpus

This study aims to investigate the Chinese and English language proficiency of tertiary students in Hong Kong through the unique lens of translation. An error-annotated translation learner corpus—the Hong Kong Student Translation (HKST) corpus, a subset of the Multilingual Student Translation (MUST) initiative—was developed following the standard of an international multilingual corpus initiative for the study of translated language of language learners and translation students. Consisting of Chinese‒English and English‒Chinese translations of students from more than 11 tertiary institutions in Hong Kong, the corpus includes over 300,000 word tokens. Analysis of the corpora data suggests that distortion in content transfer was the highest-frequency error type amongst students in both Chinese‒English and English–Chinese translations. Under the category of language errors, the top three problems in students’ English–Chinese translation were heavy structure (style and situational context), multiword non-term collocation (lexis and terminology), and pronoun reference (cohesion), and the top three in Chinese–English were tense/aspect (grammar), spelling (mechanics), and punctuation (mechanics). A close examination of these problems in relation to students’ individual differences were further explored. These findings pinpoint the most urgent problems that need to be addressed in both secondary and tertiary level of language teaching in Hong Kong. The study also indicates that tailor-made exercises should be developed to help enhance these identified deficiencies in students’ written Chinese and English language respectively.
Creating and Using “Virtual Corpora” to Extract and Analyse Domain-Specific Vocabulary at English-Corpora.org

Translators and teachers of English for Specific Purposes often need lists of words and multiword expressions for a particular domain, such as a specific field of medicine, engineering, or finance. Some have tried to create their own domain-specific corpora from scratch, but this is often quite difficult and time-consuming. In this chapter, we show how users can create “virtual corpora” for almost any topic—even very narrow topics—using the tens of millions of texts in the corpora from English-Corpora.org (representing tens of billions of words). They can then generate keywords and lists of multiword expressions from these virtual corpora; limit their searches of a larger corpus (like COCA or NOW or iWeb) to a particular virtual corpus; and even compare results from different virtual corpora side-by-side. All of this can be done very easily (just a few keystrokes) and often hundreds of times more quickly than with any other corpus-based tools.