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  1. 1461

    Digitalising behavioural data collection through cloud-based technology in veterinary science and beyond by Michelle Braghetti, Liat Vichman, Nareed Farhat, Daniel Simon Mills, Claudia Spadavecchia, Anna Zamansky, Annika Bremhorst, Annika Bremhorst, Annika Bremhorst

    Published 2025-06-01
    “…This paper highlights the need for flexible, efficient, and standardised digital solutions that facilitate the collection of multimodal behavioural data in real-world settings. We present a case example using PetsDataLab, a novel cloud-based, “no code” platform designed to enable researchers to create customized apps for efficient and standardised data collection tailored to the behavioural domain, facilitating capture of diverse data types, including video, images, and contextual metadata. …”
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  2. 1462

    A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves by James M. Trauer, Angus E. Hughes, David S. Shipman, Michael T. Meehan, Alec S. Henderson, Emma S. McBryde, Romain Ragonnet

    Published 2025-03-01
    “…The field of software engineering is advancing at astonishing speed, with packages now available to support many stages of data science pipelines. These packages can support infectious disease modelling to be more robust, efficient and transparent, which has been particularly important during the COVID-19 pandemic. …”
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  3. 1463

    SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

    Published 2025-01-01
    “…It achieves a mean IoU of 42.7 with ResNet-50 and 41.4 with Swin-B using only 9 real images and 38k synthetic samples, showcasing its efficiency in generating high-quality annotations with minimal real data. Deploying the proposed models on edge devices results in less than a 5-second inference time.This research contributes toward building resource-efficient data generation systems suitable for constrained training environments.…”
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  8. 1468

    The prevalence of comorbid and concomitant diseases in psoriatic arthritis patients, data from Russian register by Yu. L. Korsakova, T. V. Korotaeva, E. Yu. Loginova, E. E. Gubar, E. A. Vasilenko, A. A. Vasilenko, N. A. Kuznetsova, I. M. Patrikeeva, E. L. Nasonov

    Published 2021-07-01
    “…The Russian multicenter, observational study with retrospective and prospective data collection of PsA patients included 614 patients with the established diagnosis psoriatic arthritis, corresponding to the CASPAR criteria, from 39 subjects of the Russian Federation, female/male – 331 (54%)/283 (46%). …”
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  9. 1469

    The NANOGrav 15 yr Data Set: Looking for Signs of Discreteness in the Gravitational-wave Background by Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy George Baier, Paul T. Baker, Bence Bécsy, Laura Blecha, Adam Brazier, Paul R. Brook, Lucas Brown, Sarah Burke-Spolaor, J. Andrew Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Heling Deng, Timothy Dolch, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Gabriel E. Freedman, Nate Garver-Daniels, Peter A. Gentile, Joseph Glaser, Deborah C. Good, Kayhan Gültekin, Jeffrey S. Hazboun, Ross J. Jennings, Aaron D. Johnson, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Luke Zoltan Kelley, Matthew Kerr, Joey S. Key, Nima Laal, Michael T. Lam, William G. Lamb, Bjorn Larsen, T. Joseph W. Lazio, Natalia Lewandowska, Tingting Liu, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Chung-Pei Ma, Dustin R. Madison, Alexander McEwen, James W. McKee, Maura A. McLaughlin, Natasha McMann, Bradley W. Meyers, Patrick M. Meyers, Chiara M. F. Mingarelli, Andrea Mitridate, Priyamvada Natarajan, Cherry Ng, David J. Nice, Stella Koch Ocker, Ken D. Olum, Timothy T. Pennucci, Benetge B. P. Perera, Nihan S. Pol, Henri A. Radovan, Scott M. Ransom, Paul S. Ray, Joseph D. Romano, Jessie C. Runnoe, Shashwat C. Sardesai, Ann Schmiedekamp, Carl Schmiedekamp, Kai Schmitz, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Magdalena S. Siwek, Sophia V. Sosa Fiscella, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Abhimanyu Susobhanan, Joseph K. Swiggum, Stephen R. Taylor, Jacob E. Turner, Caner Unal, Michele Vallisneri, Sarah J. Vigeland, Haley M. Wahl, London Willson, Caitlin A. Witt, David Wright, Olivia Young

    Published 2024-01-01
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  10. 1470

    Modeling the relationship between the moral charter derived from Islamic teachings and performance with the mediating variable of employees' perception by leila jahantigh, Abbas Babaeenezhad, Mohsen Zayandehroudi, saeed sayadi

    Published 2024-11-01
    “…AbstractThe purpose of this research is to model the relationship between the moral code derived from Islamic teachings and performance with the mediating variable of employees' perception. …”
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    Ensuring Privacy and Security on Banking Websites in Malaysia: A Cookies Scanner Solution by Yi Hong Tay, Shih Yin Ooi, Ying Han Pang, Ying Huey Gan, Sook Ling Lew

    Published 2023-09-01
    “…In this new era of science and technology, data can be said to be an extremely valuable asset for individuals, corporations, and even countries. …”
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  15. 1475

    South African soil, land cover and weather generator file databases for SWAT applicationsMendeley Data by Jay le Roux, Ndifelani Mararakanye, Michael van der Laan, Leushantha Mudaly, Harold Louw Weepener, Johan van Tol

    Published 2025-06-01
    “…New hydrological insights for the region: The input datasets comprise of geo-spatial datasets at a national scale to run ArcSWAT or QSWAT (graphical user interface for SWAT in ArcGIS and SWAT+ in QGIS, respectively) in South Africa including: SWAT catchment outline data (tertiary and quaternary); Land cover maps at 20–30 m resolution including South African National Land Cover (2014, 2018, 2020) linked to SWAT land cover codes; A soil map with SWAT attribute data derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250,000; Weather statistics (WGN) files for 12 weather stations obtained from the Agricultural Research Council in South Africa. …”
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  16. 1476

    RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study by Mingcan Tang, William Haese-Hill, Fraser Morton, Carl Goodyear, Duncan Porter, Stefan Siebert, Thomas D. Otto

    Published 2025-05-01
    “…This enables researchers to directly integrate gene expression data with clinical features, perform exploratory data analysis, and identify patterns among patients with similar diseases. …”
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  17. 1477

    Throughput and delay analysis for IEEE 802.11 multi-hop networks considering data rate by Takeshi Kanematsu, Kosuke Sanada, Zhetao Li, Tingrui Pei, Young-June Choi, Kien Nguyen, Hiroo Sekiya

    Published 2020-09-01
    “…In an IEEE 802.11 Distributed Coordination Function–based wireless network with multiple hops, a node operates on its own with several predefined data rates (i.e. following modulation and coding schemes). …”
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  18. 1478

    FPGA implementation of high throughput encoder and decoder design of lossless canonical Huffman machine by Erna Guguloth, Saidulu Vadtya, Thirumalesu Kudithi, Muni Rathnam Shanmugam, Ashok Nayak Banoth

    Published 2025-06-01
    “…The proposed approach processes 160-bit input data, generating a compressed output of 90 bits using variable-length Canonical Huffman codes. …”
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  19. 1479

    Balancing AI-assisted learning and traditional assessment: the FACT assessment in environmental data science education by Ahmed S. Elshall, Ahmed S. Elshall, Ahmed S. Elshall, Ashraf Badir

    Published 2025-06-01
    “…AI tools, such as ChatGPT and Jupyter AI coding assistant, enable students to tackle advanced tasks and real-world applications. …”
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  20. 1480

    Prototipe Deteksi Letak Kebocoran Pipa dengan Optimalisasi Kinerja Penerimaan Paket LoRa menggunakan Pengkodean Parameter Fisik by Dedy Wahyu Herdiyanto, Freska Meliniar Alfian, Catur Suko Sarwono, Dodi Setiabudi, Andrita Ceriana Eska, Muh. Asnoer Laagu

    Published 2024-03-01
    “…During the transmission process on the LoRa communication system, optimization is carried out for receiving data packets using the parameter coding method of physical spread factors, bandwidth, and coding rate. …”
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