Assessment of the Boron Treatability Level of Lesser-Known Timber Species by the Impregnation Method by Vindhya Bandara, Anura Alwis, Thusitha Bandara, Chaminda Muthumala, Faiz Marikar

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DXA-Measured Total and Regional Body Composition in Female Athletes with a Physical Impairment by Valentina Cavedon, Ilaria Peluso, Elisabetta Toti, Marco Sandri, Anna Pedrinolla, Carlo Zancanaro, Chiara Milanese

“…<b>Conclusions:</b> Female athletes with physical impairments had a distinct body composition profile, characterized by sex-specific distribution of body tissue at the regional level. Nutritional and training strategies aimed at optimizing body composition in female athletes with physical impairments should be specifically tailored to meet the needs of this athletic population.…”
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Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis by Kyu-Hong Lee, Ro-Woon Lee, Jae-Sung Yun, Myung-Sub Kim, Hyun-Seok Choi

“…<b>Methods:</b> We utilized the Osteoarthritis Initiative (OAI) dataset, comprising knee X-ray data from 1526 patients. The data were split into training (47.0%), validation (26.5%), and test (26.5%) sets. …”
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Conversion of Chicken Rice Waste into Char via Hydrothermal, Pyrolysis, and Microwave Carbonization Processes: A Comparative Study by Mahmod A. Abdulqader, Muhammad Akromin Suliman, Tabit Abas Ahmed, Ruihong Wu, Aiman. M. Bobaker, Tiyasha Tiyasha, Mohamed A. Yassin, Nabil Al-Areeq

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The Application of Point-of-Care Ultrasound in Sports Medicine: A Narrative Review by Weronika Koziak, Stanisław Dudek, Michalina Makieła, Aleksandra Bętkowska, Agata Kornacka, Wojciech Dudek, Kamila Szostak, Rafał Tomaka, Anna Byra, Marta Makieła

“…However, further research is required to standardize protocols, improve operator training, and optimize its integration into clinical practice. …”
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Evaluation of therapeutic radiographer target volume contouring for magnetic resonance image guided online adaptive bladder radiotherapy by Bethany Williams, Jonathan Mohajer, Sophie E. Alexander, Helen Barnes, Francis Casey, Joan Chick, Alex Dunlop, Ryan Fullerton, Trina Herbert, Robert Huddart, Sarah A. Mason, Adam Mitchell, Jayde Nartey, Simeon Nill, Priyanka Patel, Shaista Hafeez, Helen A. McNair

“…Materials and methods: RTTs undertook a contouring training programme. RTT and CO/RO clinical target volume (CTV) contours from 95 fractions were assessed using dice similarity coefficient (DSC), hausdorff distance (HD), mean distance to agreement (MDA), sensitivity and specificity volume metrics on the Raystation treatment planning system (TPS) (RaySearch Laboratories). …”
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Simultaneous Electrochemical Determination of Uric Acid, Xanthine, and Hypoxanthine Using AgNPs/MIL-101(Cr) Modified Electrode by Nguyen Quang Man, Nguyen Ngoc Nghia, Vo Thi Khanh Ly, Nguyen Duc Vu Quyen, Le Thi Hoa, Ho Van Minh Hai, Le Van Thanh Son, Le Thi Hong Phong, Nguyen Dinh Luyen, Nguyen Chi Bao, Dinh Quang Khieu

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Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

“…Petrophysical constraints were derived from triple combo well logs (gamma ray, bulk density, neutron porosity), while geological constraints included stratigraphic data or spatial distance between training and target wells—petrophysical constraints most improved predictions, while stratigraphic and spatial constraints had progressively less impact. …”
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Infectious acute respiratory failure in patients under 5 years of age: a retrospective cohort study by Mahmoud Rifai, Nelly Sleiman, Jean Bergounioux, Justine Zini, Jennyne Ismail

“…These results lead us to believe that the implementation of NIV training and equipment could help reduce mortality due to lower respiratory infections in children worldwide.…”
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THE EVALUATION OF CURRENT RESEARCH ON THE STRENGTH OF DENTAL RESTORATIVE COMPOSITE MATERIALS by V.S. Kukhta, О.S. Kyrmanov

“…All this requires special training to use the composites effectively and to get high quality restoration results. …”
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DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules by Hongwei Du, Jiamin Wang, Jian Hui, Lanting Zhang, Hong Wang

“…Furthermore, our study demonstrates that by using structural embeddings from pre-trained models, our model not only outperforms other GNNs in distinguishing crystal structures but also approaches the standard X-ray diffraction (XRD) method.…”
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Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study by Alice Schiavone, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Marco Fraccaro, Dana Li, Michael Bachmann Nielsen, Desmond Elliott

“…Background: Machine learning methods for clinical assistance require a large number of annotations from trained experts to achieve optimal performance. Previous work in natural language processing has shown that it is possible to automatically extract annotations from the free-text reports associated with chest X-rays. …”
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Wide &amp; deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania by Gayantha R.L. Kodikara, Lindsay J. McHenry, Ian G. Stanistreet, Harald Stollhofen, Jackson K. Njau, Nicholas Toth, Kathy Schick

“…This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake cores using high-resolution XRF core scan elemental data and X-ray diffraction (XRD) mineralogical results from the same core taken at coarser resolution. …”
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Machine learning approach in predicting water saturation using well data at “TM” Niger Delta by Oluwakemi Y. Adeogun, Mukthar O. Abdulwaheed, Lukumon Adeoti, Olawale J. Allo, Olawunmi O. Fasakin, Oluwafemi O. Okunowo

“…The dataset includes 61,253 observations, which were split into training (70%) and testing (30%) sets. After preprocessing and correcting inconsistencies in the data, the five ML models were trained and hyperparameters tuned to optimize performance. …”
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Design of cross-reactive antigens with machine learning and high-throughput experimental evaluation by Chelsy Chesterman, Thomas Desautels, Luz-Jeannette Sierra, Kathryn T. Arrildt, Adam Zemla, Edmond Y. Lau, Shivshankar Sundaram, Jason Laliberte, Lynn Chen, Aaron Ruby, Mark Mednikov, Sylvie Bertholet, Dong Yu, Kate Luisi, Enrico Malito, Corey P. Mallett, Matthew J. Bottomley, Robert A. van den Berg, Daniel Faissol

“…Selecting an optimal antigen is a crucial step in vaccine development, significantly influencing both the vaccine’s effectiveness and the breadth of protection it provides. …”
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Novel transfer learning based bone fracture detection using radiographic images by Aneeza Alam, Ahmad Sami Al-Shamayleh, Nisrean Thalji, Ali Raza, Edgar Anibal Morales Barajas, Ernesto Bautista Thompson, Isabel de la Torre Diez, Imran Ashraf

“…K-nearest neighbor (KNN), LGBM, logistic regression (LR), and random forest (RF) are implemented using the novel features with optimized hyperparameters. The LGBM and LR models trained on proposed MobLG-Net (MobileNet-LGBM) based features outperformed others, achieving an accuracy of 99% in predicting bone fractures. …”
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Comparison of Various GAN‐Based Bone Suppression Imaging for High‐Accurate Markerless Motion Tracking of Lung Tumors in CyberKnife Treatment by Zennosuke Mochizuki, Masahide Saito, Toshihiro Suzuki, Koji Mochizuki, Hikaru Nemoto, Hiroshi Onishi, Hiroshi Takahashi

“…This study introduces a novel bone suppression imaging technique for kilovolt X‐ray imaging using generative adversarial networks (GANs) to enhance tumor tracking in SBRT by reducing interference from bony structures. …”
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Effects of aerobic exercise on body composition and exerkines in colorectal cancer survivors by Eunhan Cho, Miranda Chodzko, Stephanie L. E. Compton, Shengping Yang, Steven Heymsfield, Guillaume Spielmann, Guillaume Spielmann, Justin C. Brown, Justin C. Brown, Justin C. Brown, Justin C. Brown, Justin C. Brown

“…Exercise-derived cytokines (exerkines), particularly IL-7 and IL-15, are crucial in maintaining optimal immune health. This study investigated whether a 12-week structured exercise training intervention increases IL-7 and IL-15 in colorectal cancer survivors.MethodsSixty colorectal cancer survivors were randomized to a moderate-intensity home-based aerobic exercise group (150 min/week) or a control group for 12 weeks. …”
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A 3D reconstruction platform for complex plants using OB-NeRF by Sixiao Wu, Changhao Hu, Boyuan Tian, Yuan Huang, Shuo Yang, Shanjun Li, Shengyong Xu

“…The OB-NeRF algorithm introduced a new ray sampling strategy that improved the efficiency and quality of target plant reconstruction without segmenting the background of images. …”
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An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

“…Three subsets of the dataset are used to train the local BYOL model, which together optimizes the central encoder. …”
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