Contrast-enhanced ultrasound microbubble uptake and abnormal plasma biomarkers are seen in patients with abdominal aortic aneurysms by Adham N. Abou Ali, MD, Patrick Cherfan, MD, Ashraf G. Taha, MD, Michel S. Makaroun, MD, Yingze Zhang, PhD, Xucai X. Chen, PhD, Flordeliza S. Villanueva, MD, Rabih A. Chaer, MD

“…Patients with AAA had high baseline levels of Cystatin C and interferon-γ and low levels of macrophage migration inhibitory factor. …”
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MODELS OF MAJOR ADVERSE CARDIAC EVENT RISK USING RESULTS OF EXERCISE STRESS ECHOCARDIOGRAPHY WITH NONINVASIVE CORONARY ARTERY FLOW ASSESSMENT IN PATIENTS WITH ISCHEMIC HEART DISEAS... by A. V. Zagatina, N. T. Zhuravskaya, S. A. Sayganov

“…Medical data of 689 patients with probable or definite IHD who underwent stress echocardiography with satisfactory visualization of the anterior interventricular artery (AIVA) were included in the analysis. …”
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Medial Portal Placement for ACL Femoral Tunnel Drilling With an Over-the-Top Guide: Concepts and Technique by Travis Baes MD, Michael Gaudiani MD, Vasilios Moutzouros MD

“…The knee is then hyperflexed and the beath pin is advanced out the lateral thigh. The low-profile reamer is advanced over the wire and reamed to the desired tunnel depth. …”
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A Comparative Analysis of Refraction-Aware SfM, Hierarchical Localization, and Gaussian Splatting for Underwater 3D Reconstruction by F. Muhammad, F. Muhammad, R. A. Mugiaraya, R. A. Mugiaraya, G. Alodia, H. Sternberg

“…HLOC enhances matching robustness in low-contrast and low-texture scenes using SuperPoint and SuperGlue. …”
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Enhancing prediction of fluid-saturated fracture characteristics using deep learning super resolution by Manju Pharkavi Murugesu, Vignesh Krishnan, Anthony R. Kovscek

“…To this end, we acquired multiscale low- and high-resolution CT rock images in unsaturated and saturated states. …”
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Bacteria eat nanoprobes for aggregation-enhanced imaging and killing diverse microorganisms by Yunmin Yang, Binbin Chu, Jiayi Cheng, Jiali Tang, Bin Song, Houyu Wang, Yao He

“…Abstract Currently optical-based techniques for in vivo microbial population imaging are limited by low imaging depth and highly light-scattering tissue; and moreover, are generally effective against only one specific group of bacteria. …”
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Imaging the evolution of lithium-solid electrolyte interface using operando scanning electron microscopy by Lihong Zhao, Min Feng, Chaoshan Wu, Liqun Guo, Zhaoyang Chen, Samprash Risal, Qing Ai, Jun Lou, Zheng Fan, Yue Qi, Yan Yao

“…Abstract The quality of Li–solid electrolyte interface is crucial for the performance of solid-state lithium metal batteries, particularly at low stack pressure, but its dynamics during cell operation remain poorly understood due to a lack of reliable operando characterization techniques. …”
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Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic by T. S. Rotar

“…Table methods of qualitative data visualization and statistical methods of social and economic phenomena and processes were used as a range of statistical tools in the research. …”
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Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data by Yumika Yokoyama, Shuto Noguchi, Kazuki Ishikawa, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Ryo Kobayashi, Masayuki Karasuyama

“…The highlighted areas in the output of this model successfully predict LiZr2(PO4)3 phases with low Ea (high Li conductivity) and high Ea (low Li conductivity). …”
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Flood risk susceptibility analysis in Larkana district Pakistan using multi criteria decision analysis and geospatial techniques by Waheed Ali Khoso, Muhammad Waseem, Muhammad Ashraf Tanoli, Faisal Baig

“…Flood risk levels were further classified into five different classes as very low, low, moderate, high and very high. By using AHP, the weights of each parameter were calculated as a percentage, and it was determined that four out of nine parameters had 79% impact on flood hazard. …”
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COMPARATIVE ANALYSIS OF VOLATILITY OF CRYPTOCURRENCIES AND FIAT MONEY by G. O. Krylov, A. Yu. Lisitsyn, L. I. Polyakov

“…In this regard, it is concluded that the recognition of cryptocurrency, in particular bitcoin, as a real money is premature, not only due to the lack of regulations of a certain cryptocurrency as a legal tender, but also on the grounds of violation of essential requirements for the properties of the currency, such as a low level of volatility.…”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…Abstract Background Multi-functional therapeutic peptides have emerged as promising candidates in drug development and disease diagnosis due to their biocompatibility, targeting capability, and low immunogenicity. However, the identification of peptide functions through wet-lab experiments is both time-consuming and costly, necessitating efficient computational prediction methods. …”
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Wind Power Short-Term Prediction Method Based on Time-Domain Dual-Channel Adaptive Learning Model by Haotian Guo, Keng-Weng Lao, Junkun Hao, Xiaorui Hu

“…The ACON adaptive activation function autonomously learns optimal activation patterns, with fused features visualized through visualization techniques. Validation on two wind farm datasets (A/B) demonstrates that the proposed method reduces RMSE by at least 8.89% compared to the best deep learning baseline, exhibits low sensitivity to time window sizes, and establishes a novel paradigm for forecasting highly volatile renewable energy power.…”
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Ai-powered digital twin in the industrial IoT by Željko Bolbotinović, Saša D. Milić, Žarko Janda, Dragan Vukmirović

“…At this level, DT models should be supported by techniques and methods for parameter selection, correlation analysis, and heatmap visualization that facilitates time series processing. …”
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Real-world super-resolution with VLM-based degradation prior learning by Xiaxu Chen, Duixu Mao, Jun Ke

“…While accurate estimation of degradation processes from low-resolution observations enables SR models to mitigate the domain shift between synthetic training data and real-world imaging conditions, this critical estimation paradigm remains an open research challenge. …”
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Characteristics of transition to turbulence in a healthy thoracic aorta using large eddy simulation by Kuiyu Cheng, Shehnaz Akhtar, Kwan Yong Lee, Sang-Wook Lee

“…Through 3D computational fluid dynamics (CFD) visualization, we explained the transition from laminar to turbulent flow and its development throughout the cardiac cycle. …”
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Diagnostic Utility of Immunofluorescence in Oral Lesions: a Systematic Review by Selva Arockiam, Barath Raj, Nandini Prabha, Munusamy Dharani

“…Results: Most studies demonstrated a low risk of bias in most domains, indicating overall methodological rigor. …”
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USE OF DIGITAL MODELS OF GEOLOGICAL STRUCTURE TO IDENTIFY PALEOVOLCANIC STRUCTURES CONTROLLING PORPHYRY ORE OBJECTS by S. V. Efremov, N. A. Goryachev, A. E. Budyak, S. Y. Skuzovatov, A. V. Blinov

“…The article is devoted to the implementation of the methodology for paleovolcanic structure analyzing using 3D visualization of the model of the geological territory structure based on the relief digital model. …”
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A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification by Biniyam Mulugeta Abuhayi, Andras Hajdu

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Contrast-enhanced ultrasonography combined with microbubbles for uterine disorders: Current trends and future perspectives by Jian Ding, Wenhai Wang, Wenbin Zhang, Yinping Pan, Dexin Xu

“…Standard imaging modalities typically provide low resolution, limiting their effectiveness in evaluating uterine pathology and determining optimal treatment strategies. …”
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