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Journal articles on the topic 'Social CPS computing'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Li, Zongcheng. "Super-metauniverse with cyber life as center in integrating cyber nature and cyber society sky-earth computing (III) beyond cloud computing." ITM Web of Conferences 45 (2022): 01067. http://dx.doi.org/10.1051/itmconf/20224501067.

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According to the analysis and design of this series of articles, with cyber life as the center, using big data platform, IOT, AI technology, and the super-metauniverse system engineering that we advocate to develop and implement, we integrate cyber natural system and cyber social system, and establish a super-metauniverse system (SMS) for the hyper cyber-world. cyber life system is a life system supported by IT and network technology, including cyber physiological system (CPS-2) and cyber psychological system (CPS-3); Cyber natural system is a natural system supported by IT and network technol

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Mainzer, Klaus. "Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View." Foresight and STI Governance 14, no. 4 (2020): 10–19. http://dx.doi.org/10.17323/2500-2597.2020.4.10.19.

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Information and communication technologies (ICT) which are transforming most areas develop non-linearly. Failure to take into account the nonlinear principles of complex dynamic systems hinders development of balanced innovation strategies. Companies and governments lose the ability to effectively respond to “grand challenges”. The linear approach does not allow covering a wide range of critical areas simultaneously in the scope of Foresight projects, prevents from applying an interdisciplinary approach to developing innovation strategies, correct risks assessment, and making informed decision

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Zhou, Li, Jianfeng Gao, Di Li, and Heung-Yeung Shum. "The Design and Implementation of XiaoIce, an Empathetic Social Chatbot." Computational Linguistics 46, no. 1 (2020): 53–93. http://dx.doi.org/10.1162/coli_a_00368.

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This article describes the development of Microsoft XiaoIce, the most popular social chatbot in the world. XiaoIce is uniquely designed as an artifical intelligence companion with an emotional connection to satisfy the human need for communication, affection, and social belonging. We take into account both intelligent quotient and emotional quotient in system design, cast human–machine social chat as decision-making over Markov Decision Processes, and optimize XiaoIce for long-term user engagement, measured in expected Conversation-turns Per Session (CPS). We detail the system architecture and

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Mishra, Manohar, Janmenjoy Nayak, Bignaraj Naik, and Bhaskar Patnaik. "Enhanced Memetic Algorithm-Based Extreme Learning Machine Model for Smart Grid Stability Prediction." International Transactions on Electrical Energy Systems 2022 (August 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/8038753.

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The smart grid is considered a conventional application domain of cyber-physical system (CPS) tools in the electrical utility industry. The physical system dynamics of SG with the assistance of CPS are generally controlled by connected sensors and controllers via a communication link. These CPSs, which rely heavily on an expansive communication network and intelligent computing algorithms, are susceptible to cyber-physical attacks and are also sensitive to various technical, economical, and social factors compromising their stability. Assessment and prediction of the stability of CPSs are very

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Olexander, Shmatko, Balakireva Svitlana, Vlasov Andrii, et al. "DEVELOPMENT OF METHODOLOGICAL FOUNDATIONS FOR DESIGNING A CLASSIFIER OF THREATS TO CYBERPHYSICAL SYSTEMS." Eastern-European Journal of Enterprise Technologies 3, no. 9 (105) (2020): 6–19. https://doi.org/10.15587/1729-4061.2020.205702.

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The emergence of a full-scale quantum computer questions the stability of almost all symmetric and asymmetric cryptography algorithms. At the same time, the rapid growth of computing resources of IT and “G” technologies contributes to an increase in attacks on information and communication (ICS) and cyberphysical systems (CPS). These systems are the core of modern critical cybernetic information systems (CCIS). In such conditions, the primary task of maintaining the required level of security is the classification of modern threats that are integrated with social engineering method

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Cernian, Alexandra, Nicoleta Vasile, and Ioan Stefan Sacala. "Fostering Cyber-Physical Social Systems through an Ontological Approach to Personality Classification Based on Social Media Posts." Sensors 21, no. 19 (2021): 6611. http://dx.doi.org/10.3390/s21196611.

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The exponential increase in social networks has led to emergent convergence of cyber-physical systems (CPS) and social computing, accelerating the creation of smart communities and smart organizations and enabling the concept of cyber-physical social systems. Social media platforms have made a significant contribution to what we call human behavior modeling. This paper presents a novel approach to developing a users’ segmentation tool for the Romanian language, based on the four DISC personality types, based on social media statement analysis. We propose and design the ontological modeling app

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Cha, Hyun-Jong, Ho-Kyung Yang, Jin-Mook Kim, and You-Jin Song. "A Study on Data Processing for Application of Vehicular CPS in Fog Computing Environment." Advanced Science Letters 23, no. 10 (2017): 10379–83. http://dx.doi.org/10.1166/asl.2017.10457.

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Kansal, Sahil, Harish Kumar, and Sakshi Kaushal. "A request allocation model for processing data in federated cloud computing." Electronic Library 38, no. 4 (2020): 745–67. http://dx.doi.org/10.1108/el-01-2019-0005.

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Purpose As the storage and processing requirement of digital information is increasing on the cloud, it is very difficult for the single cloud provider (CP) to meet the resource requirement. Multiple providers form a federation for the execution of users’ requests. For the federated cloud, this paper aims to address the issue distribution of users’ request for resources and revenue among the providers by offering fair and stable distribution models for the federated cloud. Design/methodology/approach This paper uses cooperative game (CG)-theoretical models, i.e. Shapley–Shubik power index (SSP

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Kodym, Oldřich, Lukáš Kubáč, and Libor Kavka. "Risks associated with Logistics 4.0 and their minimization using Blockchain." Open Engineering 10, no. 1 (2020): 74–85. http://dx.doi.org/10.1515/eng-2020-0017.

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AbstractCurrently we are saying that we are at the dawn of the fourth revolution, which is marked by using cyberphysical systems and the Internet of Things. This is marked as Industry 4.0 (I4.0). With Industry 4.0 is also closely linked concept Logistics 4.0. The highly dynamic and uncertain logistic markets and huge logistic networks require new methods, products and services. The concept of the Internet of Things and Services (IoT&S), Big Data/ Data Mining (DM), cloud computing, 3D printing, Blockchain and cyber physical system (CPS) etc. seem to be the probable technical solution for th

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Puliafito, Antonio, Giuseppe Tricomi, Anastasios Zafeiropoulos, and Symeon Papavassiliou. "Smart Cities of the Future as Cyber Physical Systems: Challenges and Enabling Technologies." Sensors 21, no. 10 (2021): 3349. http://dx.doi.org/10.3390/s21103349.

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A smart city represents an improvement of today’s cities, both functionally and structurally, that strategically utilizes several smart factors, capitalizing on Information and Communications Technology (ICT) to increase the city’s sustainable growth and strengthen the city’s functions, while ensuring the citizens’ enhanced quality of life and health. Cities can be viewed as a microcosm of interconnected “objects” with which citizens interact daily, which represents an extremely interesting example of a cyber physical system (CPS), where the continuous monitoring of a city’s status occurs thro

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Shammar, Elham Ali, and Ammar Thabit Zahary. "The Internet of Things (IoT): a survey of techniques, operating systems, and trends." Library Hi Tech 38, no. 1 (2019): 5–66. http://dx.doi.org/10.1108/lht-12-2018-0200.

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Purpose Internet has changed radically in the way people interact in the virtual world, in their careers or social relationships. IoT technology has added a new vision to this process by enabling connections between smart objects and humans, and also between smart objects themselves, which leads to anything, anytime, anywhere, and any media communications. IoT allows objects to physically see, hear, think, and perform tasks by making them talk to each other, share information and coordinate decisions. To enable the vision of IoT, it utilizes technologies such as ubiquitous computing, context a

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Bai, Xue, Hong Wei Kang, Qing Yi Chen, Xing Ping Sun, Yong Shen, and Hua Zhou. "Research of the Emergence of Virtual Organizations Based on Cloud Computing Environment." Applied Mechanics and Materials 644-650 (September 2014): 2290–94. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2290.

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In the cloud computing environment, resources of services encapsulation extend from initial computing resources to all other encapsulated social resources, such as manufacturing resources, financial resources, etc. Increasingly, services are reflecting the agent characteristics. This paper proposes that the cloud computing environment is a complex adaptive system of which the service is the service agent. With the emergence of its core, the model of interactions between service agents has been established by synthesizing theories and technologies of various disciplines like System Science, Eco

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Mosaddeque, Ananna, Mantaka Rowshon, Tamim Ahmed, Umma Twaha, and Binso Babu. "The Role of AI and Machine Learning in Fortifying Cybersecurity Systems in the US Healthcare Industry." Inverge Journal of Social Sciences 1, no. 2 (2022): 70–81. https://doi.org/10.63544/ijss.v1i2.101.

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The digital transformation of healthcare has brought about unprecedented advancements, but it has also introduced significant cybersecurity risks. Cyberattacks targeting sensitive patient data, employee information, and critical operational systems are on the rise, demanding innovative and robust security measures. Enter the powerful duo of Artificial Intelligence (AI) and Machine Learning (ML). These cutting-edge technologies offer a powerful arsenal against these cyber threats. AI algorithms can analyse massive datasets from various sources, such as network traffic, user behaviour, and medic

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Thomas, John, and Pam Mantri. "Axiomatic Cloud Computing Architectural Design." MATEC Web of Conferences 301 (2019): 00024. http://dx.doi.org/10.1051/matecconf/201930100024.

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Modern cloud computing makes available a plethora of scalable cloud computing offerings. The cloud is increasingly becoming the backbone of the highly complex modern knowledge-economy that includes Social, Mobile, IoT, Big-Data and AI. Knowledge-based products and services follow fat-tail distributions such as the power-law that poses major opportunities and challenges for the designer. The Axiomatic Designer is uniquely positioned in designing for the de-novo situations that the fat-tailed distributions expose. Also, the cloud frees-up the architectural decision-making away from the legacy co

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Vazquez, Araujo Francisco Javier, Adriana Dapena, Salorio María José Souto, and Paula M. Castro. "Calculation of the Connected Dominating Set Considering Vertex Importance Metrics." Entropy 20 (January 28, 2018): 87. https://doi.org/10.3390/e20020087.

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The computation of a set constituted by few vertices to define a virtual backbone supporting information interchange is a problem that arises in many areas when analysing networks of different natures, like wireless, brain, or social networks. Recent papers propose obtaining such a set of vertices by computing the connected dominating set (CDS) of a graph. In recent works, the CDS has been obtained by considering that all vertices exhibit similar characteristics. However, that assumption is not valid for complex networks in which their vertices can play different roles. Therefore, we propose f

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Goode, Luke, and Michael Godhe. "Beyond Capitalist Realism – Why We Need Critical Future Studies." Culture Unbound 9, no. 1 (2017): 108–29. http://dx.doi.org/10.3384/cu.2000.1525.1790615.

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This paper introduces the interdisciplinary field of Critical Future Studies (CFS). CFS investigates the scope and constraints within public culture for imagining and debating different potential futures. It interrogates imagined futures founded – often surreptitiously – upon values and assumptions from the past and present, as well as those representing a departure from current social trajectories. CFS draws on perspectives from various disciplines including sociology, political studies, intellectual history, cultural history, media and cultural studies, utopian studies, science and technolog

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Lemieux, Victoria L., and Richard Marciano. "Teaching computational archival science: context, pedagogy, and future directions." Information Research an international electronic journal 30, iConf (2025): 301–18. https://doi.org/10.47989/ir30iconf47347.

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Introduction. The paper describes the development of the new transdisciplinary field of computational archival science (CAS) and the integration of computational thinking (CT) concepts into archival science. Method. The authors show how CAS can be introduced into graduate archival training through two case studies at the University of Maryland and the University of British Columbia and discuss building and sustaining CAS educator networks. Analysis. The paper argues that, given the increasing use of AI in archival work and research, the acquisition of computational skills and competencies is u

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Ramadan, Rabie A., and Ahmed B. Altamimi. "Hierarchal Fuzzy Logic Controller and Internet of Things (IoT) Information." International Journal of System Dynamics Applications 6, no. 3 (2017): 59–86. http://dx.doi.org/10.4018/ijsda.2017070104.

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With the advances of networks and sensing technologies, it is possible to benefit from the surrounding environment's data in enhancing peoples' life. Currently, we have different types of networks such as Wireless Sensor Networks (WSNs), Vehicle Ad Hoc Networks (VANETs), Cellular Networks (CNs), and Social Networks (SNs) along with underlying computing such as Cloud computing. These types of networks provide huge data about the surrounding environments including weather information, peoples' relations, peoples' interest, and location information. This paper examines the suitability of hierarch

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Hayat, Naeem, Abdullah Al Mamun, Noorul Azwin Md Nasir, Ganeshsree Selvachandran, Noorshella Binti Che Nawi, and Quek Shio Gai. "Predicting Sustainable Farm Performance—Using Hybrid Structural Equation Modelling with an Artificial Neural Network Approach." Land 9, no. 9 (2020): 289. http://dx.doi.org/10.3390/land9090289.

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The adoption of innovative technology has always been a complex issue. The agriculture sectors of developing countries are following unsustainable farming policies. The currently adopted intensive farming practices need to replace with conservative agriculture practices (CAPs). However, the adoption of CAPs has remained low since its emergence and reports have suggested that the use of CAPs is scant for sustainable farm performance. This article aims to study three scenarios: Firstly, the influence of personal and CAPs level factors on the intention to adopt CAPs; secondly, the influence inten

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Obendiek, Anke. "Die Europäische Union im Spannungsfeld von Daten- und Geopolitik – eine Analyse ihrer strategischen Ausrichtung anhand des Konzepts der Grenzarbeit." integration 47, no. 2 (2024): 137–53. http://dx.doi.org/10.5771/0720-5120-2024-2-137.

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Data is increasingly recognized as central in addressing social, political, and economic challenges. This article utilizes the concept of boundary work to illustrate how the European Union (EU) advances its strategic interests through data and market control. Specifically, the EU aims to enhance the competitiveness of European companies and address social issues while upholding European values. Through the analysis of three case studies – recent data legislation, the promotion of common European data spaces, and the IPCEI-CIS on cloud edge computing – the article evaluates the effectiveness of

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Arana-Catania, Miguel, Felix-Anselm Van Lier, Rob Procter, et al. "Citizen Participation and Machine Learning for a Better Democracy." Digital Government: Research and Practice 2, no. 3 (2021): 1–22. http://dx.doi.org/10.1145/3452118.

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The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations. In this article, we report on the progress of a project that aims to address barriers, one of which is information overload, to achieving effective direct citizen participation in democratic decision-making processes. The main objectives are to explore if the application of Natural Language Processing ( NLP ) and machine learning can improve citizens’ experience of digital citizen participation platforms. Taking as a case study the

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Prabhakar, Sunil Kumar, Semin Ryu, In cheol Jeong, and Dong-Ok Won. "A Dual Level Analysis with Evolutionary Computing and Swarm Models for Classification of Leukemia." BioMed Research International 2022 (May 26, 2022): 1–16. http://dx.doi.org/10.1155/2022/2052061.

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One of the major reasons of mortality in human beings is cancer, and there is an absolute necessity for doctors to identify and treat a person suffering from it. Leukemia is a group of blood cancers that usually originates in the bone marrow and results in very high number of abnormal cells. For the diagnosis of cancer, microarray data serves as an important clinical application and serves as a great aid to the entire medical community. The dimensionality of the microarray data is too high, and so selection of suitable genes is quite an important step for the improvement of data classification

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Weichhart, Georg, and Michael Rosemann. "Guest Editorial: Cooperative Information Systems in the Digital Age." International Journal of Cooperative Information Systems 25, no. 04 (2016): 1702001. http://dx.doi.org/10.1142/s0218843017020014.

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Cooperative information systems (CIS) are at the core of a digital economy that is dedicated to providing hyper-connected citizens with access to intuitive and sophisticated technology. No longer are commercial applications the only driver of development activities, but wider societal and individual deployment areas are now explored. CIS researchers have for more than two decades studied the nature and requirements of cooperative systems linking latest technologies with hybrid user bases. However, the current opportunity-rich landscape of digital technologies such as mobile and social computin

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Mengxi Yang. "Design of Personalized Recommendation System for College Education Based on Multivariate Hybrid Criteria Fuzzy Algorithm." Journal of Electrical Systems 20, no. 6s (2024): 555–65. http://dx.doi.org/10.52783/jes.2694.

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The learner model's design is a most important aspect of a personalized college student education recommendation system. Currently, most learner models need more scientific focus, relying on a single method to collect dimensions and feature attributes with low computing costs. Hence, this paper introduced a Multivariate Hybrid Criteria Fuzzy Algorithm (MHCFA) for personalized college education recommendation. The MHCFA is trained by Social Feedback Artificial Tree (SFAT), where SFAT is the combination of Social Optimization Algorithm (SOA) and Feedback Artificial Tree (FAT). In addition, Deep

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Lokesh A, Dr, Mr Maria Navin J R, Mr Balaji K, and Mr Pradeep M. "Designing and analyzing highly scalable and reliable of full fledged parallel algorithm for computing strongly connected com-ponents to analyze social graphs." International Journal of Engineering & Technology 7, no. 2.12 (2018): 374. http://dx.doi.org/10.14419/ijet.v7i2.12.11354.

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With the recent advent of Big Data, developing efficient distributed algorithms for computing Strongly Connected Components of a large dataset has received increasing interests. For example, social networks, information networks and communication networks such as the communities of people that have formed on those networks, what community a person belongs or finding cyclic de-pendencies in the graph.Apache Giraph is an open-source implementation of Google’s Pregel. It is an iterative and real-time graph processing engine designed to be scalable, fault tolerant and highly efficient. This framew

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Zimman, Lal, and Will Hayworth. "How we got here: Short-scale change in identity labels for trans, cis, and non-binary people in the 2000s." Proceedings of the Linguistic Society of America 5, no. 1 (2020): 499. http://dx.doi.org/10.3765/plsa.v5i1.4728.

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Though understudied in research on language variation and change, the lexicon is a crucial domain for sociopolitical transformations of language. This paper presents a corpus-based sociolinguistic analysis of changes in terms for transgender, cisgender, and non-binary individuals in four online communities on the social media blogging site, LiveJournal.com – one for trans women, one for trans men, one for non-binary people, and another for transgender people in general – that were popular in the 2000s. Using innovative corpus methods that utilize general purpose cloud computing tools, we focus

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Blayney, Douglas W., Craig Lindquist, Tina Seto, Nhat Minh Hoang, and Allison W. Kurian. "Computing the cost of care per day of breast cancer survivor care." Journal of Clinical Oncology 36, no. 7_suppl (2018): 10. http://dx.doi.org/10.1200/jco.2018.36.7_suppl.10.

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10 Background: Cost of breast cancer survivor surveillance, of survivorship care and of variation in care practices are unknown. Furthermore, it is not known whether intense surveillance care adds value. We developed a method to measure the cost of surveillance to account for varying follow-up duration [cost of care per day (CCPD)], and explored the impact of surveillance cost on survival. Methods: We queried the Oncoshare database {Kurian et al Cancer 2014}, which amalgamates data from Stanford Health Care’s (SHC) electronic health record (EHR) (imaging, infused drugs, inpatient and outpatien

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Goswami, Shubhangi. "Enhancing Scalability in DNA Data Storage: Computational Methods for Efficient Encoding, Retrieval, and Petabyte-Scale Storage." International Journal for Research in Applied Science and Engineering Technology 13, no. 7 (2025): 868–79. https://doi.org/10.22214/ijraset.2025.73089.

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As technology advances, the global datasphere is experiencing exponential growth, with projections exceeding 200 zettabytes by 2026. This data surge stems from platforms like social media, IoT, AI/ML processing, video streaming, cloud computing, and e-commerce. Data storage methods have evolved significantly, transitioning from magnetic storage (hard disks, tapes) and optical storage (CDs, DVDs) to solid-state drives, cloud storage, and databases. However, these traditional methods have limitations, including e-waste generation, data loss, high costs, and privacy concerns. Enter DNA storage, a

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Brüggemann, Andreas, Nishat Koti, Varsha Bhat Kukkala, and Thomas Schneider. "MultiCent: Secure and Scalable Computation of Centrality Measures on Multilayer Graphs." Proceedings on Privacy Enhancing Technologies 2025, no. 4 (2025): 944–68. https://doi.org/10.56553/popets-2025-0166.

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As real-world networks such as social networks and computer networks are often complex and distributed, modeling them as multilayer graphs is gaining popularity. For instance, when studying social interactions across platforms like LinkedIn, Facebook, TikTok, and Bluesky, users may be connected on several of these platforms. To identify important nodes/users, the platforms might wish to analyze user interactions using, e.g., centrality measures when accounting for connections across all platforms. This raises the challenge for platforms to perform such computation while simultaneously protecti

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Waniek, Marcin, and César A. Hidalgo. "Bridging the polarization gap: Maximizing diffusion among dissimilar communities." Collective Intelligence 1, no. 2 (2022): 263391372211285. http://dx.doi.org/10.1177/26339137221128542.

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Polarized networks, composed of weakly connected and self-reinforcing groups, can limit the diffusion of ideas, behaviors, and innovations. Here, we use a complex contagion model, in which diffusion depends on both the connectivity and the similarity of individuals, to ask how to optimally build bridges and enhance diffusion in networks characterized by fragmentation and homophily. First, we show that the problem is NP-hard. Then, we explore the space of solutions using heuristics, finding that connecting high degree nodes, or hubs, is an ineffective strategy to accelerate diffusion in fragmen

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Rittiwong, Tanapa, Nattaya Wongyara, and Joanne Schneider. "EFFECTS OF DANCE INTERVENTIONS ON COGNITION IN OLDER ADULTS: A META-ANALYSIS." Innovation in Aging 6, Supplement_1 (2022): 705. http://dx.doi.org/10.1093/geroni/igac059.2580.

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Abstract Background Dance interventions have been shown to improve cognition in older adults. However, no meta-analysis evaluates that effect. Objective: We examined the effects of dance on cognition in older adults and examined the moderating effects of participant, methods, and intervention characteristics. Methods We searched 14 databases using the search terms: dance AND cognition AND older adults. Researchers of primary studies compared dance with control groups of adults≥60 years old, measured cognition, and wrote in English. Two researchers independently coded studies and discussed to a

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Mondal, Manash Kumar, Riman Mandal, Sourav Banerjee, Utpal Biswas, Pushpita Chatterjee, and Waleed Alnumay. "A CPS based social distancing measuring model using Edge and Fog computing." Computer Communications, July 2022. http://dx.doi.org/10.1016/j.comcom.2022.07.029.

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V.Vijayakumar, Neelanarayanan V., Nithyanandam P., and Chen Siguang. "Special Issue on: "Cyber Physical Systems"." International Journal of Computer Networks & Communications (IJCNC), June 13, 2018. https://doi.org/10.5281/zenodo.1288329.

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Cyber-Physical Systems (CPS) are integrations of computation, networking, and physical processes. The vision of CPS faces some core challenges of multidisciplinary research, as their relevant technologies appear in diverse areas of science and engineering.

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Nagy, Richárd. "A literature review of contemporary industrial revolutions as decision support resources." Journal of Agricultural Informatics 13, no. 1 (2022). http://dx.doi.org/10.17700/jai.2022.13.1.656.

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Today's industrial revolutions radically transform our understanding of technological possibilities and the importance of human creativity. All these contribute to changes in the process and tools of decision support. In this literature review, I will discuss the technological opportunities that can be applied in Industry 4.0 and Industry 5.0 and the related role of human resources. Industry 4.0 is not just about an explosion in the industry, but about the digitalization of the entire economy. Digitalisation solutions include CPS systems that integrate computing, networking and physical proces

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Al-Qerem, Ahmad, Ali Mohd Ali, Shadi Nashwan, Ala Hamarsheh, Ahmad Nabot, and Issam Jibreen. "Transactional Services for Concurrent Mobile Agents over Edge/Cloud Computing-Assisted Social Internet of Things." Journal of Data and Information Quality, June 15, 2023. http://dx.doi.org/10.1145/3603714.

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The Web of Things (WoT) is a concept that aims to create a network of intelligent devices capable of remote monitoring, service provisioning, and control. Virtual and Physical Internet of Things (IoT) gateways facilitate communication, processing, and storage among social nodes that form the social Web of Things (SWoT). Peripheral IoT services commonly use device data. However, due to the limited bandwidth and processing power of edge devices in the IoT, they must dynamically alter the quality of service provided to their connected clients to meet each user's needs while also meeting the servi

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Burton, Jason W., Abdullah Almaatouq, M. Amin Rahimian, and Ulrike Hahn. "Algorithmically mediating communication to enhance collective decision-making in online social networks." Collective Intelligence 3, no. 2 (2024). http://dx.doi.org/10.1177/26339137241241307.

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Digitally enabled means for judgment aggregation have renewed interest in “wisdom of the crowd” effects and kick-started collective intelligence design as an emerging field in the cognitive and computational sciences. A keenly debated question here is whether social influence helps or hinders collective accuracy on estimation tasks, with recent results on the role of network structure hinting at a reconciliation of seemingly contradictory past results. Yet, despite a growing body of literature linking social network structure and collective accuracy, strategies for exploiting network structure

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AMAM, Abderahim, Afaf BENABOUD, and Siham BOUKLATA. "L'efficacité de la redevabilité managériale en protection sociale via Cloud Computing : Quelle intelligence économique possible pour le cas du Maroc ?" June 1, 2023. https://doi.org/10.5281/zenodo.7992583.

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En effet, les objectifs du management public interpellent d’assurer tous les principes de la bonne gouvernance principalement l’obligation de rendre compte. Dans ce sens, la redevabilité managériale joue un rôle très important, elle concerne l’obligation de rendre des comptes sur la qualité de la gestion publique. Cette recherche intitulée « l’efficacité de la redevabilité managériale en protection sociale via Cloud Computing : Quelle intelligence économique possible pour le cas du Maroc ? » traite cette question de la redevabilité managériale en matière de

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Desideri, Ada, Alexandre Détruit, and Bianca Vallarano. "Écologie sociale et humanités numériques : intégrer la poésie à la science." Humanités numériques 11 (2025). https://doi.org/10.4000/1498r.

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Nous proposons dans cet article une approche éthique et politique de l’impact des recherches en humanités numériques (HN), basée sur la philosophie de l’écologie sociale, pour aborder la problématique de la décroissance dans les HN. Les HN ont-elles un rôle à jouer dans un processus de décroissance ? Comment serait organisé un projet d’HN écologique ? Pour aborder ces questions, nous allons dans un premier temps résumer les principes de l’écologie sociale, tels que définis par Murray Bookchin, ainsi que leurs applications à la technologie. Nous verrons ensuite ce qu’appliquer ces principes aux

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da Silva, Catarina, Cláudia Pascoal, Giorgio Pace, Ana Sofia Vaz, and Cláudia Carvalho‐Santos. "Using social media and citizen science to assess cultural ecosystem services along riverine landscapes." Aquatic Conservation: Marine and Freshwater Ecosystems 34, no. 8 (2024). http://dx.doi.org/10.1002/aqc.4233.

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AbstractRivers offer cultural ecosystem services (CES) that improve people's quality of life. Advancements in computing and data storage have primarily focused on terrestrial CES, neglecting riverine areas. This study aims to develop a methodology to assess CES in riverine landscapes from social media and citizen science images related to environmental information. We collected georeferenced pictures from Flickr and iNaturalist for three main test rivers in northwest Portugal (Minho, Lima and Cávado) and classified them based on content such as ‘biodiversity’, ‘recreation/river beaches’, ‘hist

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Roman-Hauduroy, Marion. "Ubiquitous Computing et métamorphoses de la science sondagière." De l’interactivité aux interaction(s) médiatrice(s) 1, no. 1 (2019). http://dx.doi.org/10.25965/interfaces-numeriques.241.

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Avec le développement de l’Internet of Things ou de l’Ubiquitous Computing, les interactions de l’homme et de son environnement sont de manière exponentielle médiées et analysées par des systèmes interactifs. Dans ce contexte, il convient de s’interroger sur la manière dont les systèmes interactifs, qui sont par essence des systèmes d’interprétation du réel, traitent les actions et les productions humaines et quelles représentations ils en donnent. Sur la base d’une analyse comparative entre process de la science sondagière hors‐ligne et process de la science sondagière en ligne, cet article p

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Pratt, Christian Z., Kyle J. Ray, and James P. Crutchfield. "Controlled erasure as a building block for universal thermodynamically robust superconducting computing." Chaos: An Interdisciplinary Journal of Nonlinear Science 35, no. 4 (2025). https://doi.org/10.1063/5.0227130.

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Reducing the energy inefficiency of conventional CMOS-based computing devices—which rely on logically irreversible gates to process information—remains both a fundamental engineering challenge and a practical social challenge of increasing importance. We extend an alternative computing paradigm that manipulates microstate distributions to store information in the metastable minima determined by an effective potential energy landscape. These minima serve as mesoscopic memories that are manipulated by a dynamic landscape to perform information processing. Central to our results is the control er

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Donna, Joel, and Brant G. Miller. "Using cloud-computing applications to support collaborative scientific inquiry: Examining pre-service teachers’ perceived barriers towards integration / Utilisation d'applications infonuagiques pour appuyer la recherche scientifique collaborative." Canadian Journal of Learning and Technology / La revue canadienne de l’apprentissage et de la technologie 39, no. 3 (2013). http://dx.doi.org/10.21432/t2101p.

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Technology plays a crucial role in facilitating collaboration within the scientific community. Cloud-computing applications can be used to model such collaboration and support inquiry within the secondary science classroom. Little is known about pre-service teachers’ beliefs related to the envisioned use of this technology in their teaching. These beliefs may influence future integration. This study finds several first-order barriers, such as perceptions that these tools would take too much time to use. Second-order barriers include perceptions that this technology would not promote face-to-fa

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"Twieng: A Multi-Domain Twi-English Parallel Corpus for Machine Translation of the Twi Language, A Low-Resource African Language." Journal of Mathematical Techniques and Computational Mathematics 1, no. 1 (2022). http://dx.doi.org/10.33140/jmtcm.01.01.05.

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A Twi-English parallel corpus is certainly an important resource for Machine Translation of Twi (ISO 639-3), a Low- Resource Language (LRL) which is mainly spoken in Ghana and Ivory Coast. Currently large-scale multidomain Twi- English parallel corpus is still unavailable partly due to the difficulties and the arduous efforts required in its design. A digital Twi lexicon curated purposely for linguistic research is also not available. In this paper, we present TWIENG – Twi English corpus, a large-scale multi-domain Twi-English parallel corpus and Twi lexicon, a digital Twi Dictionary. We discu

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Casey, Joan A., Marianthi-Anna Kioumourtzoglou, Amy Padula, et al. "Measuring long-term exposure to wildfire PM _2.5 in California: Time-varying inequities in environmental burden." Proceedings of the National Academy of Sciences 121, no. 8 (2024). http://dx.doi.org/10.1073/pnas.2306729121.

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Wildfires have become more frequent and intense due to climate change and outdoor wildfire fine particulate matter (PM 2.5 ) concentrations differ from relatively smoothly varying total PM 2.5 . Thus, we introduced a conceptual model for computing long-term wildfire PM 2.5 and assessed disproportionate exposures among marginalized communities. We used monitoring data and statistical techniques to characterize annual wildfire PM 2.5 exposure based on intermittent and extreme daily wildfire PM 2.5 concentrations in California census tracts (2006 to 2020). Metrics included: 1) weeks with wildfire

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SABOUK, Lalla Najwa, and Mohamed Larbi SIDMOU. "L'analyse des déterminants de la performance relationnelle entre les donneurs d'ordres et les sous-traitants dans les centres de contact : cas du Maroc." August 15, 2021. https://doi.org/10.5281/zenodo.5203085.

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Depuis des années, le secteur de l’offshoring au Maroc a été placé parmi les piliers de la croissance économique. Malgré que la délocalisation ne date pas d’aujourd’hui, elle reste toujours un terrain fertile qui présente des opportunités d’affaires. En effet, le développement de la sous-traitance des services est un champ de recherche en croissance. L’objectif de cette recherche est de contribuer à l’analyse des déterminants explicatifs de l’évolution des relati

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B. Belle, Alvine, Callum Sutherland, Opeyemi O. Adesina, Sègla Kpodjedo, Nathanael Ojong, and Lisa Cole. "Bolstering the Persistence of Black Students in Undergraduate Computer Science Programs: A Systematic Mapping Study." ACM Transactions on Computing Education, August 31, 2023. http://dx.doi.org/10.1145/3617896.

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Background : People who are racialized, gendered, or otherwise minoritized are underrepresented in computing professions in North America. This is reflected in undergraduate computer science (CS) programs, in which students from marginalized backgrounds continue to experience inequities that do not typically affect White cis-men. This is especially true for Black students in general, and Black women in particular, whose experience of systemic, anti-Black racism compromises their ability to persist and thrive in CS education contexts. Objectives : This systematic mapping study endeavours to (1)

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Meng, Na, Yiqing Sun, Yanling Dong, et al. "Prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning: a retrospective study." Frontiers in Public Health 12 (June 4, 2024). http://dx.doi.org/10.3389/fpubh.2024.1333450.

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ObjectivesDiquat poisoning is an important public health and social security agency. This study aimed to develop a prognostic model and evaluate the prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning, focusing on how its impact changes over time after poisoning.MethodsThis was a retrospective cohort study using electronic healthcare reports from the Second Hospital of Hebei Medical University. The study sample included 80 patients with acute oral Diquat poisoning who were admitted to the hospital between January 2019 and May 2022. Time-to-event analyse

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Aghazadeh Ardebili, Ali, Marco Zappatore, Amro Issam Hamed Attia Ramadan, Antonella Longo, and Antonio Ficarella. "Digital Twins of smart energy systems: a systematic literature review on enablers, design, management and computational challenges." Energy Informatics 7, no. 1 (2024). http://dx.doi.org/10.1186/s42162-024-00385-5.

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Abstract Background Energy systems, as critical infrastructures (CI), constitute Cyber-Physical-Social Systems (CPSS). Due to their inherent complexity and the importance of service continuity of CIs, digitization in this context encounters significant practical challenges. Digital Twins (DT) have emerged over the recent years as a promising solution for managing CPSSs by facilitating real-time interaction, synchronization, and control of physical assets. The selection of an appropriate architectural framework is crucial in constructing a DT, to ensure integration of enabling technologies and

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ERRAOUI, Salma, and Abderrahmane AMINE. "Les modèles et les stratégies marketing à l'aune de la transformation digitale et de l'intelligence artificielle : Cadre théorique." International Journal of Accounting, Finance, Auditing, Management and Economics, January 21, 2024. https://doi.org/10.5281/zenodo.10547298.

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<strong>Résumé</strong> Les nouvelles technologies ont révolutionné presque tous les aspects de l'existence humaine, y compris la façon dont les entreprises commercialisent leurs produits et services aux consommateurs. Parallèlement aux innovations désormais familières comme Internet, les applications mobiles et les médias sociaux, des innovations plus radicales émergent, liées à l'intelligence artificielle (IA), à l'Internet des objets et à la robotique. Ces avancées technologiques ex

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sprotocols. "Generation of Gaussian 09 Input Files for the Computation of 1H and 13C NMR Chemical Shifts of Structures from a Spartan’14 Conformational Search." December 31, 2014. https://doi.org/10.5281/zenodo.13661.

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Authors: Spencer Reisbick & Patrick Willoughby ### Abstract This protocol describes an approach to preparing a series of Gaussian 09 computational input files for an ensemble of conformers generated in Spartan’14. The resulting input files are necessary for computing optimum geometries, relative conformer energies, and NMR shielding tensors using Gaussian. Using the conformational search feature within Spartan’14, an ensemble of conformational isomers was obtained. To convert the structures into a format that is readable by Gaussian 09, the conformers were first exported to a single “.sdf”

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