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

“…Despite its clinical and emotional burden, limited data exist on the lived experiences of individuals with this condition.…”
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Algerian elders are living longer lives, but shorter lives free of chronic diseases: An analysis of the 2006-2019 period by Farid Flici, Meryem Chinoune

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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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CLINICAL-EPIDEMIOLOGICAL CHARACTERISTIC OF ECHINOCOCCOSIS IN ZAPOROZHYE REGION by E. V. Ryabokon, O. V. Zarudnaya, N. S. Ushenina

“…For confirmation of the diagnosis were used instrumental (ultrasonic research, computer tomography), serological (identification of antibodies to echinococcus), histological (after cyst excision) methods. The obtained data were processed by a method of variation statistics. …”
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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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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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Collaborative Integrated Navigation for Unmanned Aerial Vehicle Swarms Under Multiple Uncertainties by Le Zhang, Xiaomeng Cao, Mudan Su, Yeye Sui

“…Building upon this model, an augmented measurement nonlinear least squares positioning method is applied, achieving further improvements in localization accuracy. …”
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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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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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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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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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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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Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…Additionally, features were enhanced by applying noise reduction techniques via magnitude spectral subtraction and feature optimization, reflecting the characteristics of rotating equipment. Furthermore, data were augmented using generative adversarial networks to prevent overfitting. …”
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Construction of an indicator library for cities’ sustainable development by Maomao Yan, Feng Yang, Lingna Liu, Dehua Guo, Chao Li

“…In the process of implementing indicators, we further suggest that important indicators with incomplete statistical data should nevertheless be included in the scope of cities’ statistical monitoring. …”
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Weakly Supervised Semantic Segmentation of Mangrove Ecosystem Using Sentinel-1 SAR and Deep Convolutional Neural Networks by Arsalan Ghorbanian, Ardalan Ghorbanian, Seyed Ali Ahmadi, Ali Mohammadzadeh, Amin Naboureh

“…This approach incorporates a U-Net architecture with an EfficientNet-B7 backbone for robust feature extraction, employs Test-Time Augmentation (TTA) with an ensemble strategy to enhance prediction stability, and validates the method&#x2019;s temporal transferability across multiple years. …”
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Investigation of the Long and Short-Term Relationship Between Exchange Rate and Inflation in Türkiye by İbrahim Aytekin, Seda Bayrakdar, Emre Aksoy

“…Accordingly, in this study, the relationship between the monthly consumer price index, producer price index, and real effective exchange rate in Türkiye between the years 2004-2021 was examined by the time series analysis method. Augmented Dickey-Fuller and Phillips-Perron unit root tests were used to determine the stationarity levels of the data in time series analysis. …”
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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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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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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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