Deep learning for malignant lymph node segmentation and detection: a review by Wenxia Wu, Adrien Laville, Eric Deutsch, Roger Sun

“…Radiation therapy remains a cornerstone in the treatment of cancer, with the delineation of Organs at Risk (OARs), tumors, and malignant lymph nodes playing a critical role in the planning process. However, the manual segmentation of these anatomical structures is both time-consuming and costly, with inter-observer and intra-observer variability often leading to delineation errors. …”
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Recent Development and Application of TiO2 Nanotubes Photocatalytic Activity for Degradation Synthetic Dyes – A Review by Euis Uswatun Hasanah, Indar Kustiningsih, Slamet Slamet, Maughal Ahmed Ali Baig

“…However, several challenges exist regarding TiO2 nanotubes pure applications for dyes degradation such as poor affinity, high band gap energy, and difficulty of recovery and easy to recombination so it would decrease effectiveness of the photocatalysis process. …”
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Committing AE from Sponges by Juliane Krämer, Patrick Struck, Maximiliane Weishäupl

“…We close this gap by providing an analysis of these schemes with respect to their committing security. …”
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We’ve All Traveled, We’ve All Learnt: Virtual Field Trips in Early Childhood Education by Ümran Alan

“…However, while planning these activities, factors such as security, permission processes, costs, and the attitudes of families bother early childhood teachers. …”
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Model-based approach for specifying requirements of virtual reality software products by Sai Anirudh Karre, Y. Raghu Reddy

“…IntroductionGathering requirements for developing virtual reality (VR) software products is a labor-intensive process. It requires detailed elicitation of scene flow, articles in the scene, action responses, custom behaviors, and timeline of events. …”
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Eight Laws of Logic for the Forensic Construction Expert by A. Yu. Butyrin, E. B. Stativa, O. A. Manukhina

“…At the same time, knowledge of logic is crucial at all stages of the examination process. Filling this gap, the authors of this article reveal the content of the fundamental laws of logic and demonstrate their role in the cognitive activity of knowledgeable persons who implement their specialized (primarily construction and technical) knowledge in court proceedings. …”
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol by Mauro Podda, Adolfo Pisanu, Gianluca Pellino, Adriano De Simone, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Dario Bruzzese, Daniela Pacella

“…Discussion The MINERVA study aims to address the specific gap in predicting RAP risk in MABP patients by leveraging advanced ML techniques. …”
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Novel cultivation techniques for water lily (Nymphaea micrantha Guill. & Perr) production based on in vitro technology by Fei Lin, Yong Kang, Arwa Abdulkreem AL-Huqail, Dikhnah Alshehri, Yamei Li, Yuhua Guo, Guangsui Yang, Fenling Tang, Junmei Yin, Zheli Ding, Mamdouh A. Eissa

“…To address the knowledge gap in the use of water lily rhizomes as explants in tissue culture, in this study, the processes of sterilization, induction, proliferation, and rooting in water lily tissue culture are examined. …”
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A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research by Lukas Nolte, Sven Tomforde

“…Designing and conducting experiments is a fundamental process across various scientific disciplines, such as materials science, biology, medicine, and chemistry. …”
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A Scoping Review for Hamstring Injury Risk Monitoring in Australian Rules Football by Dale Wilson Chapman, Sorcha Humphreys, Shannon Spencer, Nathan Tai, Dag Øyen, Kevin Netto, Robert Waller

“…Hamstring strain injuries (HSIs) are the most common time loss injury sustained in male Australian Football League (AFL) athletes, causing significant financial cost, time cost, and impaired team and individual performance. …”
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Population-level scale-up of cervical cancer prevention services in a low-resource setting: development, implementation, and evaluation of the cervical cancer prevention program in... by Groesbeck P Parham, Mulindi H Mwanahamuntu, Sharon Kapambwe, Richard Muwonge, Allen C Bateman, Meridith Blevins, Carla J Chibwesha, Krista S Pfaendler, Victor Mudenda, Aaron L Shibemba, Samson Chisele, Gracilia Mkumba, Bellington Vwalika, Michael L Hicks, Sten H Vermund, Benjamin H Chi, Jeffrey S A Stringer, Rengaswamy Sankaranarayanan, Vikrant V Sahasrabuddhe

“…<h4>Background</h4>Very few efforts have been undertaken to scale-up low-cost approaches to cervical cancer prevention in low-resource countries.…”
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Analysis of the Current Status of Scientific Data Sharing under the US Public Access Policy and its Implications by LIU Jingzhuo

“…The practical problems of scientific data sharing include inter-departmental coordination and linkage, gaps in supply and demand between disciplines, boundaries between disciplines, inadequate cost-benefit evaluation, and the availability of shared data to the public. …”
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Cloud-Based Solutions for Scalable Enterprise Resource Planning Systems Benefits and Implementation Strategies by Kumar Gooda Satheesh, P Mohanraj, J Veni, Ashish, S Kannadhasan, B Thamizhkani

“…In this work, a blockchain secured database management is explored and proposed as a building block in ERPs making it trust worthy ERP process. These findings are evidence that companies aligned with this successful cloud ERP model are able to lower operating costs, scale, and boost their cybersecurity score. …”
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Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis by Kuo-Hao Li, Chao-Nan Wang, Yao-Chi Tang

“…The proactive defect detection and intervention system rectified potential failures at an early stage and improved the overall quality control processes. This proactive approach enhanced operational efficiency and reliability, reduced rework and warranty claims costs, and aligned with industrial needs while addressing a critical gap in academic research. …”
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Investigating the Advantages and Future Prospects of Biological Carbon Sequestration Technologies by Liu Bokai

“…This study provides a roadmap for sustainable carbon mitigation, offering solutions to bridge gaps in global climate action.…”
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Agro-environmental assessment of composting plants in Southwestern of Morocco (Souss-Massa Region) by Khalid Azim, S. Komenane, B. Soudi

“…Fruit and vegetable producers are asked to process the organic wastes because of the GlobalGAP certification requirements. …”
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User-driven technology in NGOs—A computationally intensive theory approach by Marie-E. Zubler, (née Godefroid), Julian Koch, Ralf Plattfaut

“…At the same time, they face high pressure to reduce administrative costs. A possible solution to the resulting conundrum could be user-driven technology. …”
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SCHEDULING PLANNING SOYBEAN COMMODITY DISTRIBUTION ACTIVITIES AT CV XYZ USING DISTRIBUTION REQUIREMENT PLANNING (DRP) METHOD by Jilan Amarla Diwani, Iphov Kumala Sriwana, Nia Novitasari

“…Additionally, total distribution costs were successfully minimized, decreasing from Rp 593,980,120 to Rp 551,934,498, resulting in a saving of Rp 42,045,622 or approximately 7% of the previous total distribution costs.…”
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No-Reference Video Quality Assessment based on The Dover Framework using A Transfer Learning Method by Ardhi Muda Ariska, Tubagus Maulana Kusuma

“…The training process was conducted over 10 epochs with resource efficiency in mind. …”
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The Use of Artificial Intelligence by Young Entrepreneurs in the Republic of Croatia by Mladen Rajko

“…These efforts could bridge the knowledge gap and reduce perceived risks associated with AI. …”
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