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Artículos de revistas sobre el tema "Co-Evolving data"

Autor: Grafiati

Publicado: 30 de noviembre de 2024

Última modificación: 31 de julio de 2025

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1

Wang, Yi, and Tao Li. "Improving semi-supervised co-forest algorithm in evolving data streams." Applied Intelligence 48, no. 10 (2018): 3248–62. http://dx.doi.org/10.1007/s10489-018-1149-7.

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Praczyk, Tomasz. "Evolving Co-Adapted Subcomponents in Assembler Encoding." International Journal of Applied Mathematics and Computer Science 17, no. 4 (2007): 549–63. http://dx.doi.org/10.2478/v10006-007-0045-9.

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Evolving Co-Adapted Subcomponents in Assembler EncodingThe paper presents a new Artificial Neural Network (ANN) encoding method called Assembler Encoding (AE). It assumes that the ANN is encoded in the form of a program (Assembler Encoding Program, AEP) of a linear organization and of a structure similar to the structure of a simple assembler program. The task of the AEP is to create a Connectivity Matrix (CM) which can be transformed into the ANN of any architecture. To create AEPs, and in consequence ANNs, genetic algorithms (GAs) are used. In addition to the outline of AE, the paper also pr

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Deng, Jinliang, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, and Ivor W. Tsang. "The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting." ACM Transactions on Knowledge Discovery from Data 15, no. 6 (2021): 1–25. http://dx.doi.org/10.1145/3450528.

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Transportation demand forecasting is a topic of large practical value. However, the model that fits the demand of one transportation by only considering the historical data of its own could be vulnerable since random fluctuations could easily impact the modeling. On the other hand, common factors like time and region attribute, drive the evolution demand of different transportation, leading to a co-evolving intrinsic property between different kinds of transportation. In this work, we focus on exploring the co-evolution between different modes of transport, e.g., taxi demand and shared-bike de

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Yuan, Yinyin. "Abstract IA006: Co-evolving artificial intelligence and pathology." Cancer Prevention Research 15, no. 12_Supplement_1 (2022): IA006. http://dx.doi.org/10.1158/1940-6215.dcis22-ia006.

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Abstract A fundamental question in cancer biology is how cancers evolve heterogeneity and treatment resistance. The evolution trajectory of cancer is dictated by selective pressures from treatments and the tumor ecosystem. Artificial intelligence (AI) enables us to directly study geographical patterns of the microenvironment in pathological samples, to infer cancer habitats and niches. Significant challenges and open questions remain: how to establish multidisciplinary platforms, develop reproducible AI tools, and how to leverage pathology, genetic, molecular, and clinical data to improve pers

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Hengpraprohm, Supoj, Kairung Hengpraprohm, Dech Thammasiri, and Suvimol Mukviboonchai. "Co-Evolving Ensemble of Genetic Algorithm Classifier for Cancer Microarray Data Classification." Advanced Science Letters 24, no. 2 (2018): 1330–33. http://dx.doi.org/10.1166/asl.2018.10743.

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Khouri, Selma, and Ladjel Bellatreche. "LOD for Data Warehouses: Managing the Ecosystem Co-Evolution." Information 9, no. 7 (2018): 174. http://dx.doi.org/10.3390/info9070174.

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For more than 30 years, data warehouses (DWs) have attracted particular interest both in practice and in research. This success is explained by their ability to adapt to their evolving environment. One of the last challenges for DWs is their ability to open their frontiers to external data sources in addition to internal sources. The development of linked open data (LOD) as external sources is an excellent opportunity to create added value and enrich the analytical capabilities of DWs. However, the incorporation of LOD in the DW must be accompanied by careful management. In this paper, we are

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Clayson, Amanda, Lucy Webb, and Nigel Cox. "When two worlds collide: critical reflection on co-production." Drugs and Alcohol Today 18, no. 1 (2018): 51–60. http://dx.doi.org/10.1108/dat-08-2017-0040.

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Purpose The purpose of this paper is to report the findings from reflexive data collection on the evolving co-production research relationship between the two “worlds” of community and academia: people with lived experience and their community intermediaries and academic researchers. It reports analysis of reflections on experience as the different partners explore and evaluate their own experiences of co-productive research within the context of substance use recovery co-production research. Design/methodology/approach The research uses reflexive data from perspectives of an intermediary comm

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Judijanto, Loso, Adi Suroso, and Andriya Risdwiyanto. "Bibliometric Assessment of Data-Driven Marketing Research Trends in the Last Two Decades." West Science Business and Management 2, no. 03 (2024): 987–1001. http://dx.doi.org/10.58812/wsbm.v2i03.1278.

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This study presents a bibliometric analysis of data-driven marketing research trends over the last two decades, with a focus on its intersection with innovation, decision-making, and related topics. Using VOSviewer for network visualization, we analyze co-authorship, keyword co-occurrence, publication frequency, and country collaboration to uncover key themes and research developments. The findings indicate a significant rise in data-driven marketing research, particularly from 2015 onwards, driven by advancements in big data, machine learning, and artificial intelligence. Co-authorship networ

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Mohd Amran Mohd Daril, Fozia Fatima, Samar Raza Talpur, and Alhamzah F. Abbas. "Unveiling the Landscape of Big Data Analytics in Healthcare: A Comprehensive Bibliometric Analysis." International Journal of Online and Biomedical Engineering (iJOE) 20, no. 06 (2024): 4–24. http://dx.doi.org/10.3991/ijoe.v20i06.48085.

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In the rapidly evolving landscape of healthcare, the digital transformation marked by healthcare 4.0 has spurred a surge in data generation, giving rise to ‘big data’. Big data analytics has become an effective tool in the healthcare industry, revolutionising medical research, patient care, and healthcare management. This study undertakes a meticulous bibliometric analysis, drawing upon a dataset of 2212 articles from the Scopus database spanning 2014 to 2023, to unravel the trajectory of big data analytics in healthcare. The research explores diverse dimensions, from the distribution of studi

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Yasaka, Noriaki. "Data mining in anti-money laundering field." Journal of Money Laundering Control 20, no. 3 (2017): 301–10. http://dx.doi.org/10.1108/jmlc-09-2015-0041.

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Purpose This report aims to focus on how suspicious transaction report is created with data mining methods and used from the point of view of knowledge management. Design/methodology/approach This paper considers data mining versus knowledge management in the anti-money laundering (AML) field. Findings In the AML field, the information and knowledge gained are not necessarily used for or shared with the related shareholders. Creating and co-evolving the network of “knowledge professionals” is the impending assignment in this industry. The first and most important task is knowledge management i

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Helbing, Dirk, Farzam Fanitabasi, Fosca Giannotti, et al. "Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life." Sustainability 13, no. 20 (2021): 11162. http://dx.doi.org/10.3390/su132011162.

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The digital revolution has brought about many societal changes such as the creation of “smart cities”. The smart city concept has changed the urban ecosystem by embedding digital technologies in the city fabric to enhance the quality of life of its inhabitants. However, it has also led to some pressing issues and challenges related to data, privacy, ethics inclusion, and fairness. While the initial concept of smart cities was largely technology- and data-driven, focused on the automation of traffic, logistics and processes, this concept is currently being replaced by technology-enabled, human-

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Gupta, Nidhi, Surbhi Arora, and Rupak Chakravarty. "Science Mapping and Visualization of Research Data Management (RDM): Bibliometric and Scientometric Study." Science Mapping and Visualization of Research Data Management (RDM): Bibliometric and Scientometric Study, no. 6096 (September 6, 2021): 1–24. https://doi.org/10.5281/zenodo.5496764.

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Research Data Management (RDM) is an ever-evolving phenomenon focused to augment and manage the research capital of an organization, especially in context with developing countries. This study aims at to understand and highlight the state of art of RDM literature between 1989 and 2021 using Web of Science Core Collection (WoSCC) database and VOSviewer software with a bibliometric or scientometric approach thereby highlighting the most influential authors, countries, journals, institutions, and to their co-authorship pattern, co- citation pattern, bibliographic coupling pattern, the co-occurren

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Lee, Eun Mi. "Navigating ePolicy Cycle: Big Data, Citizen, and Government." Crisis and Emergency Management: Theory and Praxis 13, no. 9 (2023): 39–47. http://dx.doi.org/10.14251/jscm.2023.9.39.

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This study explores the ePolicy cycle, with a specific focus on the intricate relationship between big data, citizen engagement, and government decision-making. The primary objective is to shed light on the complexities, opportunities, and challenges inherent in this dynamic interplay. The study aims to equip policymakers, government officials, data analysts, and engaged citizens with the knowledge and insights needed to effectively navigate this evolving landscape. This research examines the key components of ePolicy within the context of data-driven governance, emphasizing the principles of

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Li, Nuohan, and Nadzirah Binti Rosli. "Data Analysis for Live Streaming Behavior: Insights from a Bibliometric Analysis (2010–2024)." Data and Metadata 4 (June 1, 2025): 987. https://doi.org/10.56294/dm2025987.

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To elucidate the developmental trajectory of live streaming marketing re-search, this study conducts a quantitative bibliometric analysis and visualiza-tion of 216 peer-reviewed articles indexed in the Web of Science (WoS) core collection between 2010 and 2024, utilizing VOSviewer software. Through co-occurrence analysis, cluster analysis, and co-citation mapping, this re-search identifies evolving research hotspots, collaborative networks, and dis-ciplinary trends. Key findings include: (1) The establishment of a nascent yet fragmented author collaboration network, with core authors contribut

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Latorraca, Tássia, Ana Sofia Guimarães, and Bárbara Rangel. "Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method." Buildings 14, no. 3 (2024): 802. http://dx.doi.org/10.3390/buildings14030802.

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The research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including bibliographic data and visualization with VoSviewer, are employed to unveil collaborative networks, influential articles, research trends, and emerging themes within this domain. Global contributions are showcased, with citations predominantly from the UK and USA, while Denmark and Australia demonstrate a significant impact relative to publicat

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Chen, Lianfu, Simon T. Segar, Bhanumas Chantarasuwan, et al. "Adaptation of Fig Wasps (Agaodinae) to Their Host Revealed by Large-Scale Transcriptomic Data." Insects 12, no. 9 (2021): 815. http://dx.doi.org/10.3390/insects12090815.

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Figs and fig wasps are highly species-specific and comprise a model system for studying co-evolution and co-speciation. The evolutionary relationships and molecular adaptations of fig wasps to their fig hosts are poorly understood, and this is in part due to limited sequence data. Here, we present large-scale transcriptomic datasets of 25 fig wasp species with the aim of uncovering the genetic basis for host specificity. Our phylogenetic results support the monophyly of all genera associated with dioecious figs, and two genera associated with monoecious figs, Eupristina and Platyscapa, were re

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Md Abdul Ahad Maraj, Mahmudul Hasan, Md Mostafizur Rahman, Md Shakawat Hossain. "ADVANCING DATA SECURITY IN GLOBAL BANKING: INNOVATIVE BIG DATA MANAGEMENT TECHNIQUES." GLOBAL MAINSTREAM JOURNAL 1, no. 2 (2024): 26–37. http://dx.doi.org/10.62304/ijmisds.v1i2.133.

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In the context of the rapidly evolving digital landscape, the banking sector faces unprecedented challenges in data security due to the massive volumes of sensitive information they manage. This paper examines the implementation and efficacy of innovative big data management techniques within global banking institutions to enhance data security. It discusses the integration of predictive analytics, the impact of regulatory changes, and the adoption of emerging technologies like blockchain and advanced encryption, which collectively redefine data security strategies. The study utilises a qualit

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Mishra, Deepa, Zongwei Luo, Shan Jiang, Thanos Papadopoulos, and Rameshwar Dubey. "A bibliographic study on big data: concepts, trends and challenges." Business Process Management Journal 23, no. 3 (2017): 555–73. http://dx.doi.org/10.1108/bpmj-10-2015-0149.

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Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings r

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Nur Fajari, Sihabudin, and Isti Raafaldini Mirzanti. "Capturing Consumer Preferences to Develop the New Product Development of Ordinary Kids Through The Co-Creation Process." European Journal of Business and Management Research 7, no. 6 (2022): 43–50. http://dx.doi.org/10.24018/ejbmr.2022.7.6.1665.

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The e-commerce fashion industry is rapidly evolving. As the seasons change, consumer preferences shift according to context. As recorded during the COVID-19 outbreak, many significant changes in style, behavior, and habits are either for adults or children. Hence, to capture this change, businesses must collaborate with their customers in developing products to avoid failure and meet positive perceptions. A qualitative methodology was used as an approach. Primary data come from interviews, documentation, and question boxes with purposive sampling. Secondary data includes articles, books, journ

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Brodsky, Casey N., Ryan G. Hadt, Dugan Hayes, et al. "In situ characterization of cofacial Co(IV) centers in Co4O4 cubane: Modeling the high-valent active site in oxygen-evolving catalysts." Proceedings of the National Academy of Sciences 114, no. 15 (2017): 3855–60. http://dx.doi.org/10.1073/pnas.1701816114.

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The Co4O4 cubane is a representative structural model of oxidic cobalt oxygen-evolving catalysts (Co-OECs). The Co-OECs are active when residing at two oxidation levels above an all-Co(III) resting state. This doubly oxidized Co(IV)2 state may be captured in a Co(III)2(IV)2 cubane. We demonstrate that the Co(III)2(IV)2 cubane may be electrochemically generated and the electronic properties of this unique high-valent state may be probed by in situ spectroscopy. Intervalence charge-transfer (IVCT) bands in the near-IR are observed for the Co(III)2(IV)2 cubane, and spectroscopic analysis together

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Fosci, Paolo, and Giuseppe Psaila. "Towards Flexible Retrieval, Integration and Analysis of JSON Data Sets through Fuzzy Sets: A Case Study." Information 12, no. 7 (2021): 258. http://dx.doi.org/10.3390/info12070258.

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How to exploit the incredible variety of JSON data sets currently available on the Internet, for example, on Open Data portals? The traditional approach would require getting them from the portals, then storing them into some JSON document store and integrating them within the document store. However, once data are integrated, the lack of a query language that provides flexible querying capabilities could prevent analysts from successfully completing their analysis. In this paper, we show how the J-CO Framework, a novel framework that we developed at the University of Bergamo (Italy) to manage

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Bangura, Eudora, and Miju Choi. "Creative Event Design and Management: An Exploratory Study of Event Professionals Perspective." International Journal of Hospitality and Tourism Systems 17, no. 4 (2024): 29–37. https://doi.org/10.21863/ijhts/2024.17.4.003.

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This study explores the trends, influencers and processes involved in event design, particularly in the UK private event sector. Specifically, this study identifies how design ideas are transmitted between event professionals and clients and examine the opportunities available for clients to contribute their ideas throughout the event design process. In-depth interviews with 14 event professionals were conducted in the UK. Data were analysed using inductive thematic coding to identify and analyse themes emerging from the relevant data. The results indicate that prioritising the “wow factor” in

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Ferreira, Manuel Portugal, Christian Daniel Falaster, Cláudia Sofia Frias Pinto, and Renata Canela. "Publishing in co-authorship: A comparison of the motivations between more and less prolific Management scholars in Brazil." Administração: Ensino e Pesquisa 21, no. 2 (2020): 56–88. http://dx.doi.org/10.13058/raep.2020.v21n2.1576.

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In this study, we investigate what more and less prolific scholars – that publish more or less scientific articles – search for in their co-authorship ties. Specifically, we seek to understand if and how there are differences in the motivations presiding to co-authorship between more and less prolific researchers. Research on co-authorship is of interest to the academia, since the majority of the articles are published in co-authorship and co-authorships may have an important impact in the scholars’ career. We have collected survey data with 171 Brazilian management faculty, about their motiva

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Luo, Shishi, and Alan S. Perelson. "The challenges of modelling antibody repertoire dynamics in HIV infection." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1676 (2015): 20140247. http://dx.doi.org/10.1098/rstb.2014.0247.

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Antibody affinity maturation by somatic hypermutation of B-cell immunoglobulin variable region genes has been studied for decades in various model systems using well-defined antigens. While much is known about the molecular details of the process, our understanding of the selective forces that generate affinity maturation are less well developed, particularly in the case of a co-evolving pathogen such as HIV. Despite this gap in understanding, high-throughput antibody sequence data are increasingly being collected to investigate the evolutionary trajectories of antibody lineages in HIV-infecte

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Lazrak, Youssra, Amina El Idrissi Tissafi, and Rachid Boukharrazi. "Exploring value co-creation strategies to improve e-reputation in the hotel industry: insights from Fez, Morocco." Innovative Marketing 20, no. 4 (2024): 112–20. http://dx.doi.org/10.21511/im.20(4).2024.10.

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In the context of a rapidly evolving digital landscape, the co-creation of value with customers has gained importance in both academic and business realms, particularly within the hospitality sector. This study aims to analyze the integration of value co-creation strategies to enhance the online reputation of hotels, with a focus on active customer involvement. Using a qualitative research strategy, the study involved semi-structured, in-person interviews with twenty hotel managers from various hotels in Fez, Morocco. Thematic analysis of the interview data, conducted using NVivo 14 software,

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Bujak, Jonathan, and Alexandra Bujak. "Origin and Evolution of the Azolla Superorganism." Plants 13, no. 15 (2024): 2106. http://dx.doi.org/10.3390/plants13152106.

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Azolla is the only plant with a co-evolving nitrogen-fixing (diazotrophic) cyanobacterial symbiont (cyanobiont), Nostoc azollae, resulting from whole-genome duplication (WGD) 80 million years ago in Azolla’s ancestor. Additional genes from the WGD resulted in genetic, biochemical, and morphological changes in the plant that enabled the transmission of the cyanobiont to successive generations via its megaspores. The resulting permanent symbiosis and co-evolution led to the loss, downregulation, or conversion of non-essential genes to pseudogenes in the cyanobiont, changing it from a free-living

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Choudhary, Satyanarayan. "Decadal Analysis of Research Trends in Statistical Literacy." International Research Journal of MMC 6, no. 1 (2025): 131–42. https://doi.org/10.3126/irjmmc.v6i1.77929.

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This study critically examines the evolving landscape of statistical literacy research from 2015 to 2024 through bibliometric analysis of publication trends, co-authorship networks, co-citation patterns, and keyword clusters. Findings reveal a field marked by dynamic growth but persistent fragmentation, with publication output rebounding after early fluctuations to peak in 2024. While interdisciplinary connections between statistical literacy, healthcare, and education demonstrate strength, the analysis uncovers significant gaps in equity-focused research, representation of emerging scholars,

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Aryatwijuka, Dr Wilbroad, Joan Shina Arimpa, Assoc Prof Henry Mutebi, Assoc Prof Benjamin Tukamuhabwa, and Prof Moses Muhwezi. "Co-evolution and Sustainable Procurement in Humanitarian Organizations: The Mediating effect of Self-organization." American Journal of Supply Chain Management 9, no. 3 (2024): 26–44. http://dx.doi.org/10.47672/ajscm.2454.

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Purpose: The study examined the role of self-organization in facilitating co-evolution and sustainable procurement in Humanitarian Organisations (HOs). Materials and Methods: Using simple random sampling, data were collected from 79 Hos with respondents purposively selected following a quantitative cross-sectional design, which was analyzed through partial least structural equation modelling (PLS-SEM) using SmartPLS version 4.0.9.0. Findings: Co-evolution and self-organization play a significant role in the attainment of sustainable procurement, and the relationship between co-evolution and su

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Castro, Cyndi V., and Hanadi S. Rifai. "Development and Assessment of a Web-Based National Spatial Data Infrastructure for Nature-Based Solutions and Their Social, Hydrological, Ecological, and Environmental Co-Benefits." Sustainability 13, no. 19 (2021): 11018. http://dx.doi.org/10.3390/su131911018.

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Comprehensive datasets for nature-based solutions (NBS), and their diverse relationships have not yet been accumulated into a deployable format. This research describes the development of a novel National Spatial Data Infrastructure (NSDI) system for NBS co-benefits throughout the contiguous United States. Here, we gather and integrate robust geospatial datasets from the social, ecological, environmental, and hydrologic domains using seamless, cloud-based data services to facilitate the trans-disciplinary assessment of NBSs as a function of society and Earth. This research enhances practical d

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Jayesh Jayaram, Dr Binoy Thomas,. "Assessing the Effectiveness of In-Store Promotions for Private Label Brands in Retail Stores." European Economic Letters (EEL) 13, no. 5 (2024): 1851–60. http://dx.doi.org/10.52783/eel.v13i5.997.

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In an era marked by intense market competition and evolving consumer preferences, the pivotal role of In-Store Promotions (ISPs) in shaping the success of Private Label Brands (PLBs) is of crucial importance. This research paper delves deeply into the dynamic landscape of ISPs and their profound impact on the market performance of PLBs within the contemporary retail environment. Using a descriptive research design, the study aims to assess the effectiveness of ISPs for PLBs and explore their influence on Consumer Observation (CO), Consumer Interest (CI), and Purchase Behaviour (PB). Primary da

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Kuazaqui, Edmir. "Marketing, Digital Environment and Big Data: A Preliminary Discussion about the Influences within A Company." Journal of Business Theory and Practice 8, no. 4 (2020): p72. http://dx.doi.org/10.22158/jbtp.v8n4p72.

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This article discusses how Big Data influences Brazilian enterprises from the view point of marketing, once there is a deepening in the use of Information Technology (IT) in the business environment and is a differentiated competitive factor, as well as for the consumer. The bibliographical research involved subjects such as the evolution of digital marketing, digital inclusion, co-creation, social media, and Big Data, to have a theoretical vision. Through in-depth qualitative research, using the Focus Group method, the impressions of professionals with academic backgrounds were collected rega

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Ismail Bengana. "Study Bibliometric to Electronic Government, an International Journal: Twenty Years Review." Journal of Information Systems Engineering and Management 10, no. 37s (2025): 325–44. https://doi.org/10.52783/jisem.v10i37s.6425.

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Electronic Government, an International Journal (EG), established in 2004, is a peer-reviewed journal that disseminates articles showcasing contemporary practices and research in the realm of electronic government. The bibliometric data set for EG articles and reviews published between 2004 and 2023 is examined in this study, using a variety of metrics including the yearly citation structure, the most referenced articles in EG, and the leading authors, institutions, and nations that have made significant contributions. The utilization of the VOSviewer software aids in visualizing bibliometric

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Xu, Gang, Qian Yang, Qiang Li, and Hongli Yu. "Visualizing college sports management research from year 1993 to 2023: A comprehensive bibliometric analysis using VOSviewer." Medicine 104, no. 27 (2025): e43204. https://doi.org/10.1097/md.0000000000043204.

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Objective: This study aims to evaluate the growth and evolving focus of college sports management (CSM) research, identifying key contributors and thematic trends within the field. Methods: A bibliometric approach was used, analyzing data from VOSviewer, and the Web of Science (WoS), Scopus and EBSCOhost to assess publication patterns, co-citation networks, and keyword co-occurrence, highlighting influential authors, institutions, and research themes. Results: Our study findings show an increase in CSM publications, with significant contributions from the USA, England, and Australia. Co-citati

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Börner, Katy, Olga Scrivner, Leonard E. Cross, et al. "Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)." PLOS ONE 15, no. 12 (2020): e0242984. http://dx.doi.org/10.1371/journal.pone.0242984.

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Understanding the emergence, co-evolution, and convergence of science and technology (S&T) areas offers competitive intelligence for researchers, managers, policy makers, and others. This paper presents new funding, publication, and scholarly network metrics and visualizations that were validated via expert surveys. The metrics and visualizations exemplify the emergence and convergence of three areas of strategic interest: artificial intelligence (AI), robotics, and internet of things (IoT) over the last 20 years (1998-2017). For 32,716 publications and 4,497 NSF awards, we identify their

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Mohd Said, Mohd Azrin. "Design and Develop Low-Cost Device on Monitoring Environmental Indoor Air Quality in Factory." Journal of Engineering and Science Research 4, no. 4 (2020): 6–11. http://dx.doi.org/10.26666/rmp.jesr.2020.4.2.

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Environmental indoor air quality is one of the major concerns in occupational safety and health issues related to workers. Nowadays, the evolving of Internet of Things (IoT), the monitoring of the surrounding environmental desired parameters is more fascinating with the use of various sensors. Real time data now can be monitored with the Wi-Fi connection where the data being transfer across the network cloud with different platform service. This research focus is on the environmental monitoring for indoor air quality in terms of carbon monoxide (CO) in selected palm oil mill factory. This proj

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Cho, Yoon-Sik, Greg Steeg, and Aram Galstyan. "Co-Evolution of Selection and Influence in Social Networks." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 779–84. http://dx.doi.org/10.1609/aaai.v25i1.7952.

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Many networks are complex dynamical systems, where both attributes of nodes and topology of the network (link structure) can change with time. We propose a model of co-evolving networks where both node attributes and network structure evolve under mutual influence. Specifically, we consider a mixed membership stochastic blockmodel, where the probability of observing a link between two nodes depends on their current membership vectors, while those membership vectors themselves evolve in the presence of a link between the nodes. Thus, the network is shaped by the interaction of stochastic proces

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Dash, Manoranjan, Cheshta, Sushmitha Prabhu, Ish Kapila, and Gananath Khilla. "A Scientometric Analysis of Global Trends in Research Data Management Practices." Indian Journal of Information Sources and Services 15, no. 2 (2025): 258–67. https://doi.org/10.51983/ijiss-2025.ijiss.15.2.33.

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Aim: Research Data Management (RDM) hasdeveloped as a critical field of scholarly attention in response tothe rising significance of data-intensive research, open artinitiatives, and the evolving demands of data stewardship.Methodology: This theoretical investigation presents aninclusive scientometric examination of global trends, patterns,and thematic developments in RDM research from 2015 to 2024.Drawing data from the Web of Science (WoS) and Scopusdatabases, this research employed quantitative techniques usingtools, such as VOSviewer and Bibliometrics (R-package) toanalyze publication volum

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Ratri, Ayuningtyas Dewi, and Qurratul Aini. "The Effect of The Mediation Role of Value Co-Creation on Patient Participation and Customer Relationship Management (CRM) on Patient Loyalty." JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) 13, no. 3 (2025): 389–98. https://doi.org/10.18196/jmmr.v13i3.506.

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Patient loyalty has become a critical success factor for healthcare institutions in the evolving healthcare landscape. The hospital seeks to differentiate itself by emphasizing patient-centered care, robust CRM systems, and the value of co-creation. This research analyzed the mediation of value co-creation on patient participation and customer relationship management toward patients' loyalty at the Obstetrics and Gynaecology Polyclinic of Islamic Hospital of Hj. Siti Muniroh Tasikmalaya. This quantitative methodology used a cross-sectional survey and primary data from the questionnaire. The sa

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Judijanto, Loso. "A Bibliometric Analysis of the Transformation of Man, Machine, and the Future." Sciences du Nord Nature Science and Technology 2, no. 01 (2025): 1–10. https://doi.org/10.71238/snnst.v2i01.65.

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This study conducts a bibliometric analysis to explore the intellectual landscape of research on the transformation of man, machine, and the future. Drawing on data from the Scopus database, the analysis examines 1,105 publications between 2000 and 2024 using VOSviewer for co-authorship, keyword co-occurrence, and citation mapping. The results identify "man machine systems" as the conceptual core of the field, linking major themes such as artificial intelligence, robotics, Industry 4.0, and human-robot interaction. Temporal mapping shows a shift from early focus on mechanical integration towar

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Suvarna Ganvir, Jasmine Shaikh, and Maheshwari Harishchandre. "Clinical and Functional Profile of Patients with Stroke in Physiotherapy OPD of Tertiary Care Hospital: A Retrospective Study of 6 Years 2019 – 2024." International Journal of Physiotherapy and Research 13, no. 1 (2025): 4854–62. https://doi.org/10.16965/ijpr.2025.113.

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Introduction: Stroke is a major cause of mortality and disability in India, posing a significant public health challenge. Physiotherapy plays a crucial role in stroke rehabilitation, aiming to restore physical function and promote independent living. This study documents the clinical presentation patterns and evolving demographics of stroke patients to understand better the burden on physiotherapists and rehabilitation hurdles. Objectives: This study aims to analyze the clinical and functional profiles of stroke patients undergoing rehabilitation at the Physiotherapy Department of a tertiary c

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Shukla, Umesh, Nita Radhakrishnan, Bhanu Kiran Bhakhri, et al. "Children, comorbidities and COVID-19 - What tilts the balance?" Asian Journal of Medical Sciences 12, no. 3 (2021): 10–13. http://dx.doi.org/10.3126/ajms.v12i3.32738.

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Background: Data on the outcome of children with SARS-COV-2 infection (COVID-19) is still evolving as the pandemic unfolds. Aims and Objective: The present study aims at describing the clinical severity, course and outcome of COVID-19 in children who had underlying illnesses or co-infections. Materials and Methods: Retrospective, single center, observational study, conducted in a pediatric tertiary care center at Noida (National Capital Region, India). Results: We analyzed the data of 15 children with co-morbidities associated with COVID-19. Cancer (n=4, 26.6%), co-infections

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Suwarsi, Sri, Nizar Fauzan, and Nabilla Anasty Fahzaria. "Amplifying Brand Advocacy Through an Evolving Trend in The Future Research: Bibliometric Analysis." Revista de Gestão Social e Ambiental 18, no. 2 (2024): e04893. http://dx.doi.org/10.24857/rgsa.v18n2-074.

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Objective: The purpose of this article is to investigate brand advocacy reviews and conduct a systematic analysis utilizing bibliometric analysis to investigate the evolving research in the marketing sector, specifically consumer behavior. Method: Based on a bibliometric examination of 736 research publications from the Scopus data-based index from 2010 to 2023, this study employed citation, co-citation, and co-occurrence of authors' keyword analysis. Results and conclusion: This current study elucidates the development of brand advocacy research during the past decade. The research on brand l

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Al-Rousan, Thamer, and Hassan Abualese. "E-Learning Impact on Higher Education Institutions during COVID-19 Pandemic: A Bibliometric Analysis." International Journal of Education and Information Technologies 18 (October 11, 2024): 98–104. http://dx.doi.org/10.46300/9109.2024.18.10.

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The COVID-19 pandemic forced a rapid shift to online learning in higher education. To understand this evolving field better, this study employed a powerful technique called bibliometrics. Researchers analyzed scholarly publications between 2020 and 2023 in Web of Science, focusing on keywords related to e-learning, universities, and the pandemic's impact. This data-driven approach provided a more comprehensive picture than traditional reviews, revealing connections between research topics, researchers, and specific studies. Furthermore, the VOSviewer tool was employed to identify frequently co

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Saunders, Lucy, Harriott Nowell, Lynne Thomas, Paul Raithby, and Chick Wilson. "Single crystal synchrotron X-ray diffraction for imaging hydrogen bond evolution." Acta Crystallographica Section A Foundations and Advances 70, a1 (2014): C559. http://dx.doi.org/10.1107/s2053273314094406.

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Hydrogen bonding is a valuable intermolecular interaction in "engineering" solid-state materials. This is because of the directionality and relative strength (1) of these bonds. Hydrogen bonds enable charge and energy transfer, via H-bond evolution, in a range of biological and chemical systems (2). Recent work has demonstrated that single crystal X-ray diffraction can be used to image the evolution of hydrogen bonds, including variable temperature proton migration and proton disorder processes. In particular, in a recent study of the temperature dependent proton disorder in hydrogen bonded 3,

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PRATHIBA, GEETHA, MENDE MANEESHA, G.SHARANYA, and K.SONYSANDHYA. "REPRESENTING FINE GRINED CO-OCCURANCES FOR BEHAVIOR BASED FRAUD DETECTION IN ONLINE SYSTEM." Journal of Engineering Sciences 15, no. 10 (2024): 64–70. http://dx.doi.org/10.36893/jes.2024.v15i10.09.

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The vigorous development of e-commerce breeds cybercrime. Online payment fraud detection, a challenge faced by online service, plays an important role in rapidly evolving e-commerce. Behavior-based methods are recognized as a promising method for online payment fraud detection. However, it is a big challenge to build highresolution behavioral models by using low-quality behavioral data. In this work, we mainly address this problem from data enhancement for behavioral modeling. We extract fine-grained co-occurrence relationships of transactional attributes by using a knowledge graph. Furthermor

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Gao, Yusong, and Norkhazzaina binti Salahuddin. "A bibliometric analysis of customer loyalty factors in streaming commerce utilizing VOS viewer and R Studio." International Journal of Innovative Research and Scientific Studies 8, no. 3 (2025): 4725–37. https://doi.org/10.53894/ijirss.v8i3.7593.

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This study aims to examine customer loyalty as a critical factor in live streaming commerce, identifying key antecedents, consequences, and thematic trends to enhance understanding of consumer behavior in this rapidly evolving sector [1]. A bibliometric analysis was conducted using VOS Viewer and RStudio, leveraging data from 36 peer-reviewed articles sourced from the Web of Science (WoS) database (2015–2025). The methodology involved co-citation, co-authorship, and keyword co-occurrence analyses to map the intellectual structure of the field [2]. The analysis reveals a publication peak in 202

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Nikitkov, Alexei N., Dan N. Stone, and Timothy C. Miller. "Internal Controls, Routine Activity Theory (RAT), and Sustained Online Auction Deception: A Longitudinal Analysis." Journal of Information Systems 28, no. 1 (2014): 311–37. http://dx.doi.org/10.2308/isys-50708.

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ABSTRACT This paper adapts and extends routine activity theory (RAT) to investigate the co-evolution of eBay's controls with mundane crime in the rapidly growing auction market of 1997–2005. A suspected deceptive seller's eight-year account history indicates the presence of the three market characteristics that RAT identifies as essential for deception: (1) a motivated offender, (2) suitable targets, and (3) an absence of capable guardians (i.e., regulation and eBay controls). The results document the co-evolution of a deceptive seller's tactics with eBay's controls. The investigation introduc

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George, Jason T., Herbert Levine, Jeffrey J. Molldrem, and Haven Garber. "Stochastic cancer-immune coevolution: Implications for cancer incidence and immunotherapeutic efficacy." Journal of Clinical Oncology 37, no. 15_suppl (2019): e14023-e14023. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e14023.

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e14023 Background: Despite recent progress, robust treatment strategies that lead to durable remission are still lacking for many cancer types. This disease is difficult to treat owing in part to the complexity introduced by a heterogeneous population of cancer cells capable of evolving mechanisms of resistance to traditional therapy. Nonetheless, the discovery and continued optimization of T-cell immunotherapy has revolutionized the treatment of many cancers. This treatment strategy stands out from other approaches in its unique ability to co-evolve alongside an evading tumor. While promising

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Cambra-Fierro, Jesus, Iguacel Melero-Polo, and F. Javier Sese. "Customer value co-creation over the relationship life cycle." Journal of Service Theory and Practice 28, no. 3 (2018): 336–55. http://dx.doi.org/10.1108/jstp-01-2017-0009.

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PurposeDrawing from the theory of relationship dynamics, the purpose of this paper is to investigate how the relationship life cycle moderates the link between relationship quality and customer value co-creation. As customer-firm relationships pass through different stages (exploration, buildup, maturity, and decline) characterized by distinct customer behaviors, this study proposes a dynamic conceptual framework.Design/methodology/approachA questionnaire was administered in financial services firms. The final valid sample comprised 2,000 individuals. Subjective customer information from the q

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Eddy, Brian, and Andrea Dort. "Integrating Socio-Economic Data for Integrated Land Management (ILM): Examples from the Humber River Basin, Western Newfoundland." GEOMATICA 65, no. 3 (2011): 283–91. http://dx.doi.org/10.5623/cig2011-044.

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The application of geomatics for Integrated Land Management (ILM) often focuses on analysis and modelling of bio-physical dimensions of a study area. However, data about human dimensions, such as socioeconomic conditions of communities within a region, are equally important to consider as key drivers behind various ILM scenarios. Incorporating socio-economic conditions of communities in a spatially-explicit manner presents a number of challenges due to differences in spatial frameworks associated with human and biophysical data. This paper presents an approach for integrating socio-economic da

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