Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes by Mohammad Ghouse Syed, Emanuele Trucco, Muthu R. K. Mookiah, Chim C. Lang, Rory J. McCrimmon, Colin N. A. Palmer, Ewan R. Pearson, Alex S. F. Doney, Ify R. Mordi

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STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

“…This trend seems to be a specific feature of changes in localization of deformation in the loaded rock samples impacted by electric pulses. …”
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Adiabatic state conversion for (a)cyclic non-Hermitian quantum Hamiltonians of generalized functional form by Nicholas S. Nye, Nikolaos V. Kantartzis

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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

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Naringenin-Loaded Solid Lipid Nanoparticles: Physical–Chemical Characterization and In Vitro Antibacterial Activity by Federica De Gaetano, Francesco Caridi, Noemi Totaro, Consuelo Celesti, Valentina Venuti, Giovanna Ginestra, Antonia Nostro, Silvana Tommasini, Cinzia Anna Ventura, Rosanna Stancanelli

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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

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Clinical Significance of Lung Microbiota and Experience of the Inhaled Antibacterial Therapy in Children of the Omsk Cystic Fibrosis Center (Сase Series) by Elena B. Pavlinova, Aleksandra G. Mingairova, Tat’yana I. Safonova, Irina A. Kirshina, Zul’fiya A. Zakirova, Tat’yana Yu. Korneeva, Anna A. Shevlyakova, Tat’yana Ya. Lapunova, Ol’ga P. Arkhipova, Natal’ya Yu. Vlasenko, Natal’ya A. Polyanskaya, Ol’ga A. Savchenko, Veniamin I. Demchenko

“…An investigation of clinical and microbiological features of respiratory lesion and an assessment of elimination therapy at chronic P. aeruginosa infection in children on the example of the Regional Cystic Fibrosis Center. …”
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Prediction of Pulmonary Hypertension in Patients with Diffuse Parenchymal Lung Disease using Forced Vital Capacity/ Diffusion Capacity of Lung using Carbon Monoxide Ratio: A Cross-... by Anubhab Moulik, Jaydip Deb, Sourindra Nath Banerjee, Priyanka Ray, Pulak Kumar Jana, Sukanta Kodali, Saswata Ghosh

“…The diagnosis of DPLD is based on clinical presentation and radiological features. The initial diagnostic work-up includes Pulmonary Function Tests (PFT), such as spirometry and diffusion tests. …”
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Application of machine learning in identifying risk factors for low APGAR scores by Haifa Fahad Alhasson, Nagat Elhag, Shuaa Saleem Alharbi, Ishag Adam

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Advances in Multimodal Imaging Techniques for Evaluating and Predicting the Efficacy of Immunotherapy for NSCLC by Liu J, Xie M, Shen J, Yao J, Lin X, Bao X, Zhang X, Liang Y, Yang Y, Jiang G, Diao X, Han W, Du H, Xue X, Wu J

“…Notably, radiomics demonstrates promise in decoding tumor heterogeneity, PD-L1 expression, and immune microenvironment features, while immuno-PET probes targeting immune checkpoints offer novel insights into immune activity in vivo. …”
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Novel Trimethoprim-Based Metal Complexes and Nanoparticle Functionalization: Synthesis, Structural Analysis, and Anticancer Properties by Abbas M. Abbas, Hossam H. Nasrallah, A. Aboelmagd, W. Christopher Boyd, Haitham Kalil, Adel S. Orabi

“…Pharmacokinetic parameters and target enzymes for HD and its complexes were computed using the SwissADME web tool, with the BOILED-Egg model indicating that HD and its Cu complex should be passively permeable via the blood-brain barrier and highly absorbed by the gastrointestinal tract (GIT), unlike the Ni, Co, Ag, and Zn complexes, which are predicted to show low GIT absorption. …”
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The cross-sectional study of hospitalized COVID-19 patients in Xiangyang, Hubei province by Jin-Wei AI, Yong WANG, Jun-Wen CHEN, Xiao-Yun LIU, Wu-Feng FAN, Guo-Xin HUANG, Gao-Jing QU, Mei-Ling ZHANG, Sheng-Duo PEI, Yang LI, Li-Sha WANG, Bin PEI

“…After all data were extracted and analyzed, we summarized the COVID-19 patients epidemiological and clinical features.Results 102 cases were confirmed by real-time RT-PCR, including 52 males and 50 females with an average age of 50.38 years (SD 16.86). …”
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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

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PS-YOLO-seg: A Lightweight Instance Segmentation Method for Lithium Mineral Microscopic Images Based on Improved YOLOv12-seg by Zeyang Qiu, Xueyu Huang, Zhicheng Deng, Xiangyu Xu, Zhenzhong Qiu

“…In addition, the improved C3k2-PS module strengthens feature extraction, while the streamlined Segment-Efficient head minimizes redundant computation, further reducing the overall model complexity. …”
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Unlocking the clinical potential of paired inspiratory and expiratory CT scans in the differential diagnosis of cystic lung diseases: A systematic review. by Lucas Gabriel R Pinheiro, Carlos Augusto Treviso, Gabriele Carra Forte, Enrico Mattana Muller, Bruno Hochhegger, Rubens Gabriel Feijó Andrade

“…However, the traditionally used inspiratory scan still presents a significant spectrum of overlapping radiological features. Recent studies have demonstrated variation in lesion size between inspiratory and expiratory phases, probably due to cyst-airway communication. …”
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Organization Learning Oriented Approach with Application to Discrete Flight Control by Lin Yu, Shixing Wang, Yongan Zheng

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Numerical investigation of flow field characteristics over vertical drops with sudden contraction for different contraction ratios by Hossein Shahin, Afshin Eghbalzadeh, Mitra Javan

“…In this study, a three-dimensional numerical simulation was performed to investigate the flow pattern over a vertical drop featuring a sudden contraction under various contraction ratios. …”
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The response time to emotional stimuli (including facial expressions photos) during the fMRI scanning in affective disorders: mild and moderate depression and dysthymic disorder by M. Ye. Mel’nikov, D. D. Bezmaternykh, E. D. Petrovskiy, L. I. Kozlova, M. B. Shtark, A. A. Savelov, O. S. Shubina, K. A. Natarova

“…The response time and accuracy were the subjects of analysis.Results. On the most of the computed parameters patients with depressive disorder did not differ from controls. …”
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A binary grasshopper optimization algorithm for solving uncapacitated facility location problem by Ahmet Babalik, Aybuke Babadag

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Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification by Sofia El Amoury, Youssef Smili, Youssef Fakhri

“…Recent advances in deep learning, particularly through the application of Convolutional Neural Networks (CNNs), have transformed medical image analysis by enabling automated, high-accuracy feature extraction. Despite their promise, the performance of CNNs is highly contingent upon optimal hyperparameter tuning, a process that can be both computationally demanding and pivotal for model efficacy. …”
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