Introducing the Staged Narrative Analysis: A Comprehensive Framework to Analyze Multi-Layered and Complex Narrative Data by Kristine Andra Avram

“…When presenting each of the five stages, i.e., orientation, setting the scene, zooming in, evaluation, and contrasting, I outline the techniques used applying my own empirical data as an example. Finally, I discuss the potential applications and adaptations of the SNA in other studies. …”
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100-m-resolution surface soil moisture data during the thawing season on the Qinghai‒Tibet Plateau by Zhibin Li, Lin Zhao, Lingxiao Wang, Guangyue Liu, Erji Du, Defu Zou, Guojie Hu, Zanpin Xing, Chong Wang, Shibo Liu, Minxuan Xiao, Luhui Yin, Yiwei Wang

“…Then, 100-m-resolution SM spatial data were generated for the thawing season of 2017–2023 in the SAR signal-applicable area on the QTP. …”
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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

“…All of these methods produce data-intensive applications, which introduce new challenges and requirements for ICT systems architecture, programming paradigms, and storage capabilities.…”
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Acoustic field visualization and source localization via physics-informed learning of sparse data with adaptive sampling by Jian Chen, Dan Xu, Weijian Fang, Shiwei Wu, Haiteng Wu

“…Traditional methods for acoustic field visualization require considerable effort for capturing large amounts of acoustic data to achieve a high resolution field map, highly limiting their widespread use. …”
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Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods by Soumia Teyar, Hassina Gheribi, Messaouda Boumaaza, Ahmed Belaadi, Boon Xian Chai, Mahmood M.S. Abdullah, Ibrahim M.H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

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Crust: A Modular Framework for Conflict-Free Replicated Data Types (CRDTs) Development, Validation, and Benchmarking by Yunrui Zhu, Jing Ma

“…Conflict-free Replicated Data Types (CRDTs) are vital for achieving strong eventual consistency in distributed systems, but their development and evaluation face significant challenges by inadequate tooling. …”
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Load balancing multipath routing protocol for mass remote sensing data downlink in LEO satellite network by Pei-long LIU, Hong-yu CHEN, Song-jie WEI, Hao CHENG, Shuai LI, Jun-yong WANG

“…LEO satellite networks can provide seamless real-time data communication for all kinds of users,which developed rapidly in recent years.At the mean time,the massive payload data down-link system of space data sources,such as remote sensing satellites,still make use of traditional storage and forward mode.The real-time performance of space mission data will be improved effectively,if such satellites are connected to LEO satellite networks equipped with inter satellite links.However,it is necessary to design a specialized satellite network load balancing routing algorithm.Satellite parallel edge-disjoint multipath routing protocol (SPEMR) was designed for remote sensing satellite real-time down-link applications.OPNET simulation results indicate that the performance degradation index(DI) of the multipath scheme implemented by SPEMR is 0.32,which is only 32% of the TLR and 21% of the traditional DSP scheme.It is demonstrated that SPEMR has the better capability of transmitting massive data in real time.…”
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3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo by Taha Zerrouki, Mohamed Fares Slimani, Amine Mami, Redha Mazari

“…We used the Notation System Method, which is mostly based on the Hamburg Notation System (HamNoSys), to encode 417 ALSL lexical signs. The data collection process involved collaboration with ALSL translation experts to ensure the consistency of sign representations.NSM transcribed each sign, capturing essential linguistic features such as hand shape, movement, and facial expressions. …”
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MBE-grown 1550 nm wafer-fused VCSELs for large data rate and energy efficient communication by Georgiy Sapunov, Ilya Derebezov, Sergey Blokhin, Iakov Kovach, Si-Cong Tian, Mansoor A Maricar, Leonid Karachinsky, Innokenty Novikov, Andrey Babichev, Andrey Gladyshev, Anton Egorov, Dieter Bimberg

“…We report on the progress made in the development of 1550 nm vertical-cavity surface-emitting lasers (VCSELs) for data transmission applications. These lasers were grown using molecular beam epitaxy and manufactured through wafer fusion. …”
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A Scalable Framework for Post Fire Debris Flow Hazard Assessment Using Satellite Precipitation Data by Elijah Orland, Dalia Kirschbaum, Thomas Stanley

“…Improvements to satellite‐borne rainfall intensity data and increased availability of PFDF occurrence data worldwide are expected to enhance model skill and applicability further.…”
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Improving CT reconstructions of multi-material assemblies by multi-position data fusion: a case study by Javier Sánchez Prieto, Filippo Zanini, Simone Carmignato

“…This study validates a method for selecting optimal combinations of object orientations to improve volumetric reconstructions through multi-position CT data fusion. The approach operates in the projection domain, minimizing the need for extensive datasets while enhancing artifact mitigation. …”
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Applications of artificial intelligence for clusters analysis of Uranium decay via a fractional order discrete model by Hasib Khan, Jehad Alzabut, D.K. Almutairi

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The Application of Koha Open Source Integrated Library System in Academic Libraries: A Case Study of Bishop Stuart University Mbarara. by Mutungisa, Kennedy

“…The instrument used to generate data was a questionnaire and the data generated was analyzed using frequency tables and percentages. …”
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RESEARCH ON EXCAVATION RESISTANCE OF ADAMS-EDEM COUPLING SIMULATION DRIVEN BY MEASURED DATA AND THEORETICAL MODEL (MT) by WU Di, WANG ShenLong, LI GuanYun, DING XiaoHong, YU HuiJie, NI WeiYu

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Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data by Yan Yang, Takeo Onishi, Ken Hiramatsu

“…Simulation results of the widely used temperature index snowmelt model are greatly influenced by input air temperature data. Spatially sparse air temperature data remain the main factor inducing uncertainties and errors in that model, which limits its applications. …”
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Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information by Muhammad Fahad Ijaz, Umar Rashid, Omer Waqar

“…With the emergence of real-time applications, modern wireless networks have witnessed the use of Age of Information (AoI) as a critical metric for evaluating the timeliness of data delivery. …”
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Enhancing enterprise knowledge retrieval via cross-domain deep recommendation: a sparse data approach by Ting Li

“…Abstract Enterprise knowledge retrieval faces challenges like sparse data and inefficient cross-domain knowledge transfer, hindering traditional methods. …”
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities by K Moodley

“… The sanctity of the doctor-patient relationship is deeply embedded in tradition – the Hippocratic oath, medical ethics, professional codes of conduct, and legislation – all of which are being disrupted by big data and ‘artificial’ intelligence (AI). The transition from paper-based records to electronic health records, wearables, mobile health applications and mobile phone data has created new opportunities to scale up data collection. …”
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Estimating small area population from health intervention campaign surveys and partially observed settlement data by Chibuzor Christopher Nnanatu, Amy Bonnie, Josiah Joseph, Ortis Yankey, Duygu Cihan, Assane Gadiaga, Hal Voepel, Thomas Abbott, Heather R. Chamberlain, Mercedita Tia, Marielle Sander, Justin Davis, Attila N. Lazar, Andrew J. Tatem

“…However, logistics and costs of microcensus surveys and tree canopy or cloud cover obscuring settlements in satellite images limit its wider applications in tropical rural settings. Here, we present a two-step Bayesian hierarchical modelling approach that can integrate routinely collected health intervention campaign data and partially observed settlement data to produce reliable small area population estimates. …”
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Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports by Alexandre Naprous, Marta Avalos-Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cedric Gil-Jardine

“…Unfortunately, EMCC data are infrequently used and their utility has not been demonstrated. …”
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