Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification by Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah

“…IntroductionA brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care. …”
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Multi-input PINN Surrogate Model for Digital Twin of Lead-cooled Fast Reactor Main Pump by GUO Yiwen, LI Liangxing, XIANG Zutao, GUI Jiabin, SHI Shang, LEI Zhenxin, XU Xiangyang

“…The conclusion indicates that the surrogate model can effectively fit nonlinear training data, with high prediction accuracy and generalization capability, providing a rapid and efficient flow field prediction tool for the design of the MCP of LFRs, which can be used as the state tracking module in the corresponding digital twin software.…”
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Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

“…This improvement can enhance the feature extraction ability of the Backbone network, as the new modules can fully utilize the information of all dimensions of the convolutional kernel. (2) An Efficient Channel Attention (ECA) module is added to the Neck for improving the network’s capability to extract deep semantic feature information of the detection target. (3) In the Bbox module of the prediction head, the Complete Intersection over Union (CIoU) loss function is replaced by the Weighted Intersection over Union version 3 (WIoUv3) loss function to improve the convergence speed of the bounding box loss function and reduce the convergence value of the loss function. …”
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Assessing the Influence of Marine Port Remediated Sediments on Highbush Blueberry Growth and Trace Elements Accumulation by Stefania Nin, Daniele Bonetti, Maurizio Antonetti, Cristina Macci, Edgardo Giordani, Lorenzo Bini

“…However, this accumulation did not reach toxic levels for the plants and did not negatively impact the physiological processes of control plants, which remained particularly efficient in the Duke cv, known for its Mn resistance. …”
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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…The MoE-Transformer's ability to outperform several pre-trained BERT models marks a stride in applying NLP techniques to clinical data and integrating into a Clinical Decision Support System in a Pediatric Intensive Care Unit. …”
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Passive Heat Stimuli as a Systemic Training in Elite Endurance Athletes: A New Strategy to Promote Greater Metabolic Flexibility by Sergi Cinca-Morros, Martin Burtscher, Fernando Benito-Lopez, Jesús Álvarez-Herms

“…<b>Objectives:</b> The ability to efficiently regulate body temperature is crucial during endurance activities such as trail running, especially during competitive events in hot conditions. …”
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Effect of diamond content on properties of Ni-Cu/diamond composites prepared by electron beam selective melting by Haodong LI, Haishan WANG, Yonggang FAN

“…Due to the loss of the metal matrix's ability to bind and hold them, the diamond particles fall off in clumps during wear and erosion tests, resulting in a significant decrease in wear resistance and erosion resistance of the specimens. …”
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Preparation and characterization of thermal neutron sensitive lithium doped polystyrene plastic scintillators by ZHANG Kaihui, LI Xiang, DENG Mingxue, SHI Yun, ZHOU Qi, WANG Ke, CHEN Junfeng

“…While the performance of lithium-doped plastic scintillators still requires further improvement, these materials hold great potential for applications requiring efficient dual-mode detection of both fast and thermal neutrons.…”
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Skin melanoma cells produce diverse gelsolin (GSN) isoforms, which play non-redundant roles in cells’ proliferation and motility by Ewa Mazurkiewicz-Stanek, Aleksandra Makowiecka, Iryna Kopernyk, Michał Majkowski, Anna Boguszewska-Czubara, Tomasz Trombik, Paweł Karpiński, Piotr Donizy, Antonina J. Mazur

“…We evaluated the modified cells' ability to migrate, spread, and regulate actin polymerization. …”
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Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning by Tiziana Amoriello, Roberto Ciorba, Gaia Ruggiero, Francesca Masciola, Daniela Scutaru, Roberto Ciccoritti

“…In contrast, the optimal predictive ability was found for models of the HSI dataset (TSS: R² = 0.904; DM: R² = 0.918, TA: R² = 0.811), as confirmed by external validation. …”
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Can patient-reported profiles avoid unnecessary referral to a spine surgeon? An observational study to further develop the Nijmegen Decision Tool for Chronic Low Back Pain. by Miranda L van Hooff, Johanna M van Dongen, Veerle M Coupé, Maarten Spruit, Raymond W J G Ostelo, Marinus de Kleuver

“…The primary outcome was functional ability: 'response' (Oswestry Disability Index [ODI] ≤22) and 'non-response' (ODI ≥41).…”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…In contrast, classical machine learning techniques offer a more efficient alternative but are often overlooked due to a lack of focus on data pre-processing, which is critical for achieving optimal performance. …”
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Nanoantibiotics: A Tool Against Antimicrobial Resistance by Wasim Alamgir, Adnan Haider

“…However, with concrete planning and a cohesive approach from academia, industry, and government, the development of nanoantibiotics drugs of unique shapes and sizes, high surface areas, ability to carry antibiotic drugs to target sites, and protein disruption will help overcome antimicrobial resistance. …”
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A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The proposed hybrid method includes three main steps: (1) preprocessing of hyperspectral image cubes, (2) deep feature extraction using the EfficientNet model, and (3) classification using Manhattan distance within a few-shot learning framework. …”
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The relationship between gallstone disease and the genetic variants of the sterol transporter adenosine triphosphate–binding cassette G8 and G5 in Egyptians by Menna A. Hassan, Salwa M. Abo El-Khair, Noha M. Mesbah, Dina M. Abo-Elmatty, Asmaa R. Abdel-Hamed

“…These polymorphisms result from nucleotide substitutions in the gene sequences, which affect the transporter’s ability to efficiently regulate cholesterol secretion into the bile. …”
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Silage Maize Identification Using a Temporal Difference-Based Model with Sentinel-2 Data: Insights from a Harvest-Based and Temporally Transferable Approach by Zhenyu Lin, Ran Huang, Sihan Tan, Lingbo Yang, Jingfeng Huang, Lijun Su, Zhichao Hu

“…Its ability to rapidly adapt to new regions or years underscores its significance in supporting precision agriculture and sustainable farming practices.…”
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The effect of tactile versus auditory stimulation on reducing pain associated with invasive procedures among preterm neonates at NICUs by Entsar Shehata Mohammed, Seham Mohammed Elmwafie, Fatma Sayed Abdelaziz Mohamed, Safaa Salah Ismail

“…Abstract Background Preterm neonates often undergo invasive procedures during the period spent in neonatal intensive care units (NICUs), yet their ability to deal with pain is limited due to their immature nervous systems. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…This method offers a time-, cost-, and labour-efficient alternative to traditional experimental methods for predicting rock bolt performance. …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…Objective Medication adherence (MA) is crucial to patient treatment and vital for therapeutic outcomes. Due to its ability to continuously monitor a patient's MA behavior, the recent focus on sensor technology for MA monitoring is a promising development. …”
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Study protocol for a randomised-controlled study on emotion regulation training for adolescents with major depression: the KONNI study by Ellen Greimel, Lisa Feldmann, Charlotte Piechaczek, Frans Oort, Jürgen Bartling, Martin Schulte-Rüther, Gerd Schulte-Körne

“…Previously, it has been shown in healthy adults that a task-based training in CR is efficient to reduce negative affect, and that these effects translate into everyday life.This randomised controlled trial examines for the first time whether a task-based training in CR proves effective in MD adolescents. …”
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