Steady-State Visually Evoked Magnetic Signal Classification and BCI Evaluation Based on a Convolutional Neural Network by Yutong Wei, Fudan Zhao, Fengwen Zhao, Shiqiang Zheng, Chaofeng Ye, Liangyu Liu

“…A three-block temporal convolutional neural network (3B-TCN) is developed to classify brain magnetic signals. A data augmentation method based on statistical analysis of SSVEF signals is proposed, which generates 30,000 sets of data to train the 3B-TCN. …”
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A Deep Learning-Based Approach for Cell Segmentation in Phase-Contrast Images by Basma A. Mohamed, Nancy M. Salem, Walid Al-Atabany, Lamees N. Mahmoud

“…The Ranger optimizer outperformed Adam and SGD with an Intersection over Union (IoU) of 94.3% and an F1 score of 97.1% on the PhC-C2DH-U373 dataset, as well as an IoU of 85.3% and F1 score of 92% on the PhC-C2DL-PSC dataset, both with data augmentation. Statistical validation using the Wilcoxon signed-rank test confirmed the significance of these results (P-Value < 0.01). …”
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Deep learning for automated dental plaque index assessment: validation against expert evaluations by Jin-Sun Jeong, Kyeong-Seop Kim, Yu Gu, Da-Hyun Yoon, Meng Zhang, Ling Wang, Jeong-Hwan Kim

“…Results After data augmentation, the DL model achieved a micro-average accuracy of 73.67% and a macro-average accuracy of 65.15%, with a precision of 76.34%, recall of 65.15%, and an F1 score of 66.15%. …”
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Comparative evaluation of deep learning architectures, including UNet, TransUNet, and MIST, for left atrium segmentation in cardiac computed tomography of congenital heart diseases by Seoyeong Yun, Jooyoung Choi

“…Volumes underwent resampling, intensity normalization, and data augmentation. UNet, TransUNet, and MIST models were trained using 80% of 97 cases, with the remaining 20% employed for validation. …”
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Effectiveness of the Modified WHO Labour Care Guide to Detect Prolonged and Obstructed Labour Among Women Admitted at Eight Publicly Funded, Midwife-Led Community Health Facilities... by Mugyenyi GR, Tumuhimbise W, Atukunda EC, Tibaijuka L, Ngonzi J, Kayondo M, Kanyesigye M, Musimenta A, Yarine FT, Byamugisha JK

“…Data was collected in REDcap and analyzed using STATA v17; statistical significance was p < 0.05.Results: A total of 991 (49.3%) and 1020 (50.7%) women were monitored using the LCG and partograph, respectively. …”
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Ultrasound Doppler renal pulsatility index is a predictive marker of arterial stiffness in children with solitary functioning kidney by Seçil Conkar Tunçay, Gonca Koç, Gülden Hakverdi

“…Demographic, biochemical, anthropometric, and blood pressure data were recorded. The renal Doppler ultrasound hemodynamic parameters renal resistive index (RRI), renal pulsatility index (RPI), carotid-femoral pulse wave velocity (cfPWV), central augmentation index (cAIx) and carotid intima media thickness (cIMT) were evaluated. …”
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RiceLeafClassifier‐v1.0: A Quantized Deep Learning Model for Automated Rice Leaf Disease Detection and Edge Deployment by Oluwaseun O. Martins, Christiaan C. Oosthuizen, Dawood A. Desai

“…Training enhancements included data augmentation, dropout, dynamic learning rate scheduling, and early stopping. …”
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Twenty-four-hour profile of peripheral and central blood pressure in young patients with high-normal blood pressure and hypertension by S. B. Silkina, O. N. Antropova, I. V. Osipova

“…Depending on BP, patients were divided into groups: with HNBP and hypertension. Statistical processing and comparative analysis of the obtained data were carried out.Results. …”
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The effect of retentive interlocking on the push-out failure of fiber post/composite core system by Adel M. Abdelmoneam, Muhammad F. Khan, Khalid M. Abdelaziz, Bader S. Al-Qahtani, Abdulaziz S. Alqarni, Wael A. Al Shehri

“…Results: Statistical analysis of the collected data indicated significant differences between test groups (p < 0.05). …”
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Dependence of local carotid arterial stiffness on the presence of atherosclerotic plaque in the carotid basin in hypertensive patients by A. O. Bohun

“…Basic anthropometric data, laboratory parameters of lipid and carbohydrate metabolism, creatinine, quality intima-media thickness (QIMT), local stiffness indicators: artery diameter, distensibility, distensibility coefficient (DC), compliance coefficient (CC), stiffness indices α, β, local pulse wave velocity (PWV), pressure and augmentation index (using RF-QIMT, RF-QAS technologies) were studied. …”
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Education on Adolescent Reproductive Health at MTsS Thawalib Pesantren Padang by Melisa Yenti, Ahmad Hidayat, Bella Novriani, Arni Melati, Novia Larasati

“…Data analysis was conducted through a paired sample t-test, a statistical method that compares the means of two related groups to determine if there is a significant difference between them. …”
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Sediments of northeastern shelf of the sea of Okhotsk in the area of South Kirin hydrocarbon deposits: microstructure, mineral, chemical and trace element composition by T. G. Ryashchenko, S. I. Shtel'makh, N. N. Ukhova, G. S. Lonshakov, S. S. Kolesnikov

“…The content of rock-forming oxides (method of silicate analysis) and statistical data processing showed a homogeneous distribution of silicon, aluminum and potassium oxides in the section, the coefficient of variation (V, %) was only 1—3 %. …”
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Progression of the first stage of spontaneous labour: A prospective cohort study in two sub-Saharan African countries. by Olufemi T Oladapo, Joao Paulo Souza, Bukola Fawole, Kidza Mugerwa, Gleici Perdoná, Domingos Alves, Hayala Souza, Rodrigo Reis, Livia Oliveira-Ciabati, Alexandre Maiorano, Adesina Akintan, Francis E Alu, Lawal Oyeneyin, Amos Adebayo, Josaphat Byamugisha, Miriam Nakalembe, Hadiza A Idris, Ola Okike, Fernando Althabe, Vanora Hundley, France Donnay, Robert Pattinson, Harshadkumar C Sanghvi, Jen E Jardine, Özge Tunçalp, Joshua P Vogel, Mary Ellen Stanton, Meghan Bohren, Jun Zhang, Tina Lavender, Jerker Liljestrand, Petra Ten Hoope-Bender, Matthews Mathai, Rajiv Bahl, A Metin Gülmezoglu

“…Substantial differences exist between actual plots of labour progression of individual women and the 'average labour curves' derived from study population-level data. Exclusion of women with augmented labours from the study population resulted in slightly faster labour progression patterns.…”
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Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques by Gazi Mohammad Imdadul Alam, Naima Tasnia, Tapu Biswas, Md. Jakir Hossen, Sharia Arfin Tanim, Md Saef Ullah Miah

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Association of hemodynamic parameters and cardiovascular risk factors with cardiac remodeling in young patients with prehypertension and hypertension by O. N. Antropova, S. B. Silkina, I. G. Polyakova, T. V. Perevozchikova

“…A direct effect of BMI, waist circumference, uric acid values on echocardiographic data in patients with preHTN and HTN was detected.Conclusion. …”
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Assessment of Palatal Masticatory Mucosa Thickness in the Saudi Population of a Teaching Hospital in the Eastern Province: A Retrospective Cross-Sectional CBCT Study by Fatima Al Zahra, Suha Alyawar, Mohammed Alsaati, Afsheen Tabassum, Faisal E. Aljofi, Mishali AlSharief, Mohammed AlQranei, Khalid Almas

“…<b>Background/Objectives:</b> Periodontal and implant therapies frequently require soft tissue augmentation for optimal outcomes. As the hard palate serves as the primary donor site, this study evaluated palatal masticatory mucosa thickness variations in a Saudi population of the Eastern Province using cone-beam computed tomography (CBCT) at a teaching dental hospital, providing site-specific data for clinical applications. …”
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Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests. by Mattias Frånberg, Karl Gertow, Anders Hamsten, PROCARDIS consortium, Jens Lagergren, Bengt Sennblad

“…We show that our methodology in general has an improved statistical power in comparison to seven other methods, and, using the idea of closed testing, that it controls the family-wise error rate. …”
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Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers by Hyo-Bin Lee, So-Yeon Kwon, Ji-Hae Park, Bori Kim, Geon-Ha Kim, Jang-Hwan Choi, Young Mi Park

“…To address the limitation of small sample sizes, data augmentation leveraging large language models improved the model’s robustness. …”
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Synthetic ECG signal generation using generative neural networks. by Edmond Adib, Fatemeh Afghah, John J Prevost

“…The results show that all the tested models can, to an extent, successfully mass-generate acceptable heartbeats with high similarity in morphological features, and potentially all of them can be used to augment imbalanced datasets. However, visual inspections of generated beats favors BiLSTM-DC GAN and WGAN, as they produce statistically more acceptable beats. …”
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Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…A number of pre-processing and data augmentation methods have also been assessed and adjusted with regard to computing time and performance. …”
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