A Hybrid Attention-Based Transformer Model for Arabic News Classification Using Text Embedding and Deep Learning by Md. Mithun Hossain, Md. Shakil Hossain, Mejdl Safran, Sultan Alfarhood, Meshal Alfarhood, M. F. Mridha

“…To deal with the complexities of the Arabic language and enrich the dataset, we used a thorough preparation pipeline that includes text cleaning, tokenization, lemmatization, and data augmentation approaches. We combined a bespoke attention embedder with classic TF-IDF and Bag-of-Words features to provide a comprehensive feature set that includes both the text’s contextual and statistical aspects. …”
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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

“…To assess the prevalence of left ventricular (LV) remodeling and identify its association with hemodynamic parameters and cardiovascular risk factors in young patients with prehypertension (preHTN) and hypertension (HTN).Material and methods. Group 1 (n=47) included patients with preHTN, group 2 (n=65) — patients with untreated HTN (age — 25-44 years). …”
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Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases by Saroj Kumar Pandey, Yogesh Kumar Rathore, Sunakshi Mehra, Anurag Sinha, Tarun Raj Kumar, Ankit Kumar, Rekh Ram Janghel, Ayodele Lasisi, Quadri Noorulhasan Naveed, Md. Sazid Reza

“…The proposed pipeline integrates optimized preprocessing, including normalization, skull stripping, and data augmentation, followed by CNN‐based feature extraction and classification. …”
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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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Deep Convolutional Neural Networks to Automatically Classify Human Heart Diseases by Yo-Ping Huang, Richard Mushi, Frode Eika Sandnes, Hsiao-Feng Hu, Jing-Huei Lee

“…The improvements were statistically significant. The data augmentation method exhibited varying effects on model performance. …”
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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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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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Association of left ventricular diastolic function with parameters of arterial stiffness and atherosclerotic plaques in the carotid basin in hypertensive patients by V. V. Syvolap, A. O. Bohun

“…Basic anthropometric data, echocardiographic indicators, QIMT, local stiffness indicators were studied: arterial diameter, distensibility, DC, CC, stiffness indices α, β, local PWV, augmentation pressure and index (using RF-QIMT, RF-QAS technologies). …”
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Adaptive Anomaly Detection in Network Flows With Low-Rank Tensor Decompositions and Deep Unrolling by Lukas Schynol, Marius Pesavento

“…Extensive experiments on synthetic and real-world data demonstrate that our proposed deep network architecture exhibits a high training data efficiency, outperforms reference methods, and adapts seamlessly to varying network topologies.…”
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Objective classification for solid hydrometeor particles using deep learning by Asuka Yoshimura, Kazuhisa Tsuboki, Taro Shinoda, Tadayasu Ohigashi, Kensaku Shimizu

“…The results trained using only HYVIS images showed low validity because some types of particles in the training data were insufficient. The data for typical particle shapes were augmented to improve the classification. …”
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Lingual foramina on cone beam computed tomography: A retrospective radiographic study by Om Nemichand Baghele, Vishnudas Dwarkadas Bhandari, Pratiksha Shivajirao Late, Bhushan Rajendra Bangar, Gauri Mahesh Ugale, Raghavendra Metri

“…Total number of foramina, their location and vertical distance between them to inferior border of mandible were recorded. Statistical analysis used: Data were entered in data sheets and analysed by using descriptive and inferential statistics. …”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

“…Furthermore, we integrate attention mechanisms based on the Convolutional Block Attention Module (CBAM) and feature selection techniques derived from the Simple Gray Level Difference Method (SGLDM) to improve discriminative focus and minimize redundancy. …”
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Current State of Connected Sensor Technologies Used During Rehabilitation Care: Protocol for a Scoping Review by Michelle R Rauzi, Rachael B Akay, Swapna Balakrishnan, Christi Piper, Denise Gobert, Alicia Flach

“… BackgroundConnected sensor technologies can capture raw data and analyze them using advanced statistical methods such as machine learning or artificial intelligence to generate interpretable behavioral or physiological outcomes. …”
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Alpha-1 Antitrypsin Deficiency-Associated panniculitis: A survey of lived experience. by Jaiden Townsend, Reem Alluhibi, Nicky Lynch, Richard Woolf, Aileen Marshall, David A Lomas, John R Hurst

“…<h4>Method</h4>An international online survey was conducted between April and July 2024, targeting individuals with AATD-associated panniculitis. …”
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The Use of Enhanced External Counterpulsation in the Treatment of Patients with Coronary Artery Disease by K. S. Karaganov, A. S. Lishuta, Y. N. Belenkov

“…Enhanced external counterpulsation (EECP) is one of the most effective and safe non-invasive methods of treatment for patients with coronary artery disease (CAD), including complicated chronic heart failure (CHF). …”
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Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

“…Inflorescences of the species are elongated and multiflorous, of the compound type inherent for Campanulaceae, and characterized by a high variability of all structural features. Observation data were processed by standard statistical methods and used to construct stochastic computer models of flowering shoots, while omissions in data were restored by using the maximum likelihood method. …”
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Diagnosis and Management of Deltoid Ligament Injuries in Chronic Ankle Instability: A Systematic Review by Amanda Anderson MD, Maddison McLellan BS, Ryan Kim BS, Naudereh Noori MD

“…Studies were evaluated for workup including clinical presentation, imaging, treatment algorithm and operative techniques. Descriptive statistical analysis was conducted across the pooled data set. …”
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A Systematic Review of the Current State of Transfer Learning Accelerated CNN-Based Plant Leaf Disease Classification by David J. Richter, Md Ilias Bappi, Shivani Sanjay Kolekar, Kyungbaek Kim

“…This paper presents statistics on model, dataset, hyperparameter, pre-processing, augmentation, and metrics usage. …”
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Collaborative Integrated Navigation for Unmanned Aerial Vehicle Swarms Under Multiple Uncertainties by Le Zhang, Xiaomeng Cao, Mudan Su, Yeye Sui

“…To tackle the issue of uncertainty in information quality caused by outliers in external correction data, a robust integrated navigation method for nonlinear systems is derived based on a normal gamma distribution model. …”
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