Adversarial detection based on feature invariant in license plate recognition systems by ZHU Xiaoyu, TANG Peng, ZHANG Haochen, QIU Weidong, HUANG Zheng

“…Presently, most existing defense and detection technologies against adversarial samples show promising results for specific types of adversarial attacks. …”
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Examining The Impact of Social Media Networks on Information Sharing Among The Students of Kabale University. by Tokamanya, Jonas

“…In contrast, the least number of the respondents mentioned Twitter, as the influence of social media on information sharing of students of Kabale University, the highest number of respondents mentioned that it leads to the sharing of useful information, the lowest number of respondents said that technological communication harms interpersonal skills. …”
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Digitization and Preservation of Academic Records: A case Study of Kabale University Registry. by Ainanani, Catherine

“…The study also identified several threats to these records, such as inadequate data security measures, insufficient storage space, cybersecurity threats, poor maintenance of digitization equipment, technological obsolescence, and potential disasters. …”
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Factors Affecting Mechanization of Agriculture Practices in Kabale District. by Ainomugisha, Godwin

“…These include the topography of an area, cost of Machinery, labor Costs, scale of Operations, crop Characteristics, technological Awareness, government Policies, and Environmental Concerns. …”
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ENO1/Hsp70 Interaction Domains: In Silico and In Vitro Insight for a Putative Therapeutic Target in Cancer by Maria Rita Gulotta, Ugo Perricone, Patrizia Rubino, Angela Bonura, Salvatore Feo, Agata Giallongo, Giovanni Perconti

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Leveraging AlphaFold for innovation and sustainable health research in Africa by Emmanuel Nji, Katharina C. Cramer, Nicolas V. Rüffin, Fatoumata G. Fofana, Walid Heiba, Safiétou Sankhe

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Human metapneumovirus in China: a wake-up call for resilient healthcare systems and rapid response by Marta Giovanetti, Eleonora Cella, Sandra Coccuzzo Sampaio, Maria Carolina Elias, Luiz Carlos Junior Alcantara, Svetoslav Nanev Slavov

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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

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First report of non-marine ostracods (Crustacea, Ostracoda) from the Dahlak Archipelago (Eritrea), with the description of two new species by Giampaolo Rossetti, Ilaria Mazzini, Giorgio Chiozzi, Luca Vecchioni, Federico Marrone

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Outcomes of total hip replacement in adults with septic arthritis of the native hip joint: A systematic review by Teddy Cheong, Surya Varma Selvakumar, Ryan Kwang Jin Goh, Ing How Moo

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On the factorised subgroups of products of cyclic and non-cyclic finite $p$-groups by McCann, Brendan

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Multiplicative reduced bases for hyperelasticity by Hauret, Patrice

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Managing Fruit Splitting in Florida Citrus by Andrew Krajewski, Timothy Ebert, Arnold Schumann, Laura Waldo

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Barriers to dental providers’ use of a clinical decision support tool for pain management following tooth extractions by Shannon Gwin Mitchell, Jan Gryczynski, Donald C. Worley, Stephen E. Asche, Anjali R. Truitt, D. Brad Rindal

“…Conclusions There were numerous, interdependent human, organizational, and technological factors that influenced the intentionally and unintentionally low CDS use rates observed in the study. …”
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Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging by Juliette Moreau, Juliette Moreau, Laura Mechtouff, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Omer Faruk Eker, Yves Berthezene, Yves Berthezene, Tae-Hee Cho, Tae-Hee Cho, Carole Frindel, Carole Frindel

“…Despite advances in acquisition technologies and segmentation architectures, one of the main challenges of subacute stroke lesion segmentation in computed tomography (CT) imaging is image contrast.MethodsTo address this issue, we propose a method to assess the contrast quality of an image dataset with a ML trained model for segmentation. …”
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The application of flipped classroom in foreign language education at Pesantren-based school by Moh. Najib Mubarok

“…The findings highlight the need for targeted strategies to enhance student motivation for pre-class preparation and to explore alternative technological solutions in settings with limited internet resources. …”
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The Relationship Between Screen Time, Sleep and Obesity by Dominika Lewandowska, Dominika Rosińska-Lewandoska, Zofia Podraza, Dominika Strep, Julia Grabowska, Jakub Rosiński, Zofia Głowniak, Maciej Kwiatkowski, Izabela Kwiatkowska, Malwina Soja

“… Introduction Excessive screen time has emerged as a major public health concern, particularly due to its association with sleep disturbances and the rising prevalence of obesity. Digital technologies have become deeply integrated into daily life, leading to prolonged exposure to screens and subsequent health challenges. …”
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SELECTION OF DIGITAL TOOLS FOR ORGANIZING STUDENTS' GROUP WORK IN DISTANCE EDUCATION by Olena G. Glazunova, Andrii M. Hurzhii, Valentyna I. Korolchuk, Tetiana V. Voloshyna

“…Our study identified three important criteria for selecting digital tools for group work with educational content, namely: design, functional-technological, education-communication ones. We determined the weight of the indicators for these criteria and assessed digital tools for group work with educational content in distance learning. …”
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Insights into the nuclear-organelle DNA integration in Cicuta virosa (Apiaceae) provided by complete plastid and mitochondrial genomes by Seongjun Park, Yong Hwang, Heesoo Kim, KyoungSu Choi

“…Results We report the complete plastid and mitochondrial genomes (plastome and mitogenome) of Cicuta virosa (Apiaceae) as well as a draft nuclear genome using high-fidelity (HiFi) PacBio sequencing technologies. The C. virosa plastome (154,449 bp) is highly conserved, with a quadripartite structure, whereas the mitogenome (406,112 bp) exhibits two chromosomes (352,718 bp and 53,394 bp). …”
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Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study by Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković

“…Introduction/purpose: The application of virtual reality (VR) and simulation technologies in military training offers cost-effective and versatile approach to training enhancement. …”
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