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  1. 1701

    “It was simply disturbing“ - evaluation of the stress factors of nursing staff on special COVID-19 wards during the pandemic: a qualitative study by Lea Kiefer, Christian Volberg, Jan Adriaan Graw, Stefan Bösner

    Published 2025-02-01
    “…The strain on nursing staff working in special COVID-19 wards during the pandemic increased dramatically. To support nursing staff more effectively in similar situations in the future, it is important to identify specific stress factors to design effective support measures. …”
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  2. 1702

    Decreased SynMuv B gene activity in response to viral infection leads to activation of the antiviral RNAi pathway in C. elegans. by Ashwin Seetharaman, Himani Galagali, Elizabeth Linarte, Mona H X Liu, Jennifer D Cohen, Kashish Chetal, Ruslan Sadreyev, Alex J Tate, Taiowa A Montgomery, Gary Ruvkun

    Published 2025-01-01
    “…In support of the model that decreased syn- Muv B gene activity enhances antiviral response, we found that synMuv B mutants have 50 to 100× lower viral RNA levels during an Orsay virus infection than wild type. …”
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    Adoption of ICT in Hotel Sector During COVID-19 Pandemic in Uganda: Case Study of Selected Hotels in Kigezi Sub Region. by Tushabe, Sylivia Byarugaba, Turyasingura, Benson, Rwotolonya, Sarah

    Published 2024
    “…During the COVID-19 pandemic, Information and Communication Technologies(ICT) transformed tourism and hospitality worldwide; however, few studies havebeen conducted to present local evidence on adopting ICT in the hotel sector. …”
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  5. 1705

    21st Century Genetics : Genes at work /

    Published 2015
    Subjects: “…gene control 7721…”
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    Book
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    rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA by Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien

    Published 2025-01-01
    “…The open-source repository can be found at https://github.com/IMPETUS-UdeS/rule4ml , while the datasets are publicly available at https://borealisdata.ca/dataverse/rule4ml .…”
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    Retinopathy Diabetic Recognition and Detection Using Novel Intelligent Algorithms by Liaquat Ali Rahoo

    Published 2023-06-01
    “…The proposed approach consists of four levels: pre-processing for noise removal and standardization of the input dataset, image segmentation using Spiking Neural Network (SNN) based on edge detection, dimension reduction and feature selection using percolation theory, and the final step of combining SNN and percolation theory for retinopathy area detection. …”
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