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  1. 1141
  2. 1142

    Ensemble-Based Correction for Anomalous Diffusion Exponent Estimation in Single-Particle Tracking by Roman Lavrynenko, Lyudmyla Kirichenko, Sergiy Yakovlev, Sophia Lavrynenko, Nataliya Ryabova

    Published 2025-07-01
    “…The analysis of anomalous diffusion characteristics within single-particle tracking data is a key problem in several applied-science domains, including biosignal processing, bioinformatics, and biotechnology. …”
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  3. 1143

    Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

    Published 2025-01-01
    “…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. …”
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  4. 1144

    Generating Synthetic Malware Samples Using Generative AI by Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park

    Published 2025-01-01
    “…The experiment results show that augmenting training data with Diffusion-based synthetic data significantly improves classification performance for minor classes by up to 60% on average. …”
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  5. 1145

    Statistical Study of the Impact of Digitalization of Organizations on Lending Activity: Regional Level by I. K. Zarov

    Published 2024-05-01
    “…Russian regions are characterized by uneven levels of Internet adoption, as well as organizations applying computer networks, servers and electronic documentation systems. …”
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  6. 1146

    Monopulse Feature Extraction and Fault Diagnosis Method of Rolling Bearing under Low-Speed and Heavy-Load Conditions by Chang Liu, Gang Cheng, Xihui Chen, Yong Li

    Published 2021-01-01
    “…The experimental results using Case Western Reserve University bearing data show that feature extraction and network training are better, and the recognition rates of 5 bearing states are all 100%. …”
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    Article
  7. 1147

    Facilitating real-time LED-based photoacoustic imaging with DenP2P: An optimized conditional generative adversarial deep learning solution by Avijit Paul, Srivalleesha Mallidi

    Published 2025-05-01
    “…The network is also tested for noise distribution type invariancy concerning Gaussian white, Poisson, speckle, and salt and pepper noise. …”
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  8. 1148

    Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing by Suchuan Xing, Yihan Wang, Wenhe Liu

    Published 2025-05-01
    “…Traditional monitoring sensor tools struggle with heterogeneous metrics, temporal correlations, and precise root cause analysis in these environments. This paper proposes a dual-channel deep learning framework that integrates Temporal Convolutional Networks with Variational Autoencoders to address these challenges. …”
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  9. 1149

    Random features and polynomial rules by Fabián Aguirre-López, Silvio Franz, Mauro Pastore

    Published 2025-01-01
    “…Random features models play a distinguished role in the theory of deep learning, describing the behavior of neural networks close to their infinite-width limit. In this work, we present a thorough analysis of the generalization performance of random features models for generic supervised learning problems with Gaussian data. …”
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  10. 1150

    The Prevalence of the EML4-ALK Fusion Gene in Cytology Specimens from Patients with Lung Adenocarcinoma by Didik S. Heriyanto, Ika Trisnawati, Evan G. Kumara, Vincent Laiman, Fara S. Yuliani, Auliya S. B. Sumpono, Rita Cempaka, Marcellus, Eko Budiono

    Published 2020-01-01
    “…Under the National Comprehensive Cancer Network (NCCN) guidelines for non-small-cell lung carcinoma (NSCLC), anaplastic lymphoma kinase (ALK) gene rearrangement is required to be assessed. …”
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  11. 1151

    Investigation of 3D iris morphology early alteration after implantable collamer lens implantation by using SS-OCT by Zhengwei Zhang, Shuimiao Chang, Kaiwen Li, Jinhan Yao, Zhao Wang, Jiewei Liu, Lin Jiang, Feiyan Chai, Xiaogang Wang

    Published 2025-01-01
    “…Results: Forty-six eyes of 27 patients (average age, 26.0 ± 5.3 years) were included in the final data analysis. …”
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  12. 1152

    Calibration and validation of the SWMM hydrological model on steep terrain watersheds in Costa Rica Calibración y validación del modelo hidrológico SWMM en cuencas hidrográficas de... by Maikel Méndez-Morales

    Published 2013-06-01
    “…The suite PEST was used for model‘s parameter optimization and sensitivity analysis. Initial parameterization of the model was based on high-resolution spatial information.  …”
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  13. 1153

    Oral microbiota related to allergy in Norwegian adults by Mikyeong Lee, PhD, Hilde Kristin Vindenes, MD, PhD, Farnaz Fouladi, PhD, Rajesh Shigdel, PhD, James M. Ward, MSc, Shayamal D. Peddada, PhD, Stephanie J. London, MD, DrPH, Randi Jacobsen Bertelsen, PhD

    Published 2025-05-01
    “…Objective: We sought to identify oral microbiota associated with allergy outcomes in adults using high-throughput sequencing data. Methods: We characterized bacterial communities of gingival samples from 453 Norwegian adults (average age, 28 years) using 16S rRNA gene amplicon sequencing. …”
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  14. 1154

    Investigating nurses’ knowledge regarding preventing complications of central venous catheters (CVCs) in the intensive care unit: A descriptive study by Hadeel Basim Jasim, Ahmed Flaih Hassan

    Published 2025-02-01
    “…Statistical Package for Social Science (SPSS) version 25.0 was used for data analysis. RESULTS: The results showed the majority of the study sample was female (76.7%), with (78.3%) aged between 21 and 30 years. that the majority of participants were well-informed about the prevention of CVC complications, with 93.3% obtaining information from the Internet and social networking sites, the average score of knowledge (53.7%) of nurses exhibited good knowledge about preventing CVC complications, with (40.0%) having poor knowledge. …”
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  15. 1155
  16. 1156

    The Effect of Intelligence Games on 6th and 7th Grade Students' Critical Thinking Skills, and Student Opinions on Their Science Course Achievement by Arzu Önel, Aslı Vural

    Published 2024-12-01
    “…The semi-structuredinterview form was analyzed by content analysis. Due to the Covid-19 pandemic, the study wasconducted as a "Live Lesson" over the Education Information Network (EBA) for 10 weeks as 1 classhour per week. …”
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  17. 1157

    Role of Hope in Promoting Emotional Wellbeing among Women with Cervical Cancer: A Cross-sectional Questionnaire-based Study by Jyoti Rao, Roopali Sharma, Manish Sharma

    Published 2025-03-01
    “…Results: The demographic data revealed that the majority of the respondents were between the ages of 40 and 49 years (40%), with an average age of 44.5 years. …”
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  18. 1158

    A new approach in prevention and correction of intradialysis hypotension in patients on maintenance hemodialysis by I. Yu. Drachev, V. Yu. Shilo, G. S. Dzhulay

    Published 2018-12-01
    “…The study included 35 patients on maintenance hemodialysis in the Dialysis Center "MCHTP No. 1", which is a part of "B. Braun Avitum" network centers in the Russian Federation. All patients underwent an automatic blood pressure (BP) measurement using a machine-inbuilt option device for noninvasive blood pressure measurement. …”
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  19. 1159

    Demoralization syndrome in elderly patients with advanced lung cancer: a multi-center study in North China by Ya Li, Wei Yang, Weiwei Feng, Lingyuan Zhang, Yikun Yao, Kai Yan, Hong Zhang, Xiaochao Wan

    Published 2025-07-01
    “…Multivariable linear regression analysis further established gender, average monthly household income, stage of cancer, social support, and self-management abilities as independent predictors of DS severity.ConclusionThe findings highlight the critical importance of addressing socioeconomic factors such as household income, strengthening social support networks, improving self-management skills, and implementing targeted interventions for female patients to reduce DS levels and alleviate psychological distress in elderly ALC patients, particularly those with stage IV cancer. …”
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  20. 1160