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  1. 29941

    Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

    Published 2025-06-01
    “…Purpose: This study develops an AI-assisted pneumothorax diagnosis system using deep learning and chest X-ray images to enhance diagnostic efficiency and accuracy, reduce radiologists' workload, and provide timely treatment. …”
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  2. 29942

    Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

    Published 2025-01-01
    “…Additionally, unsupervised models like K-Means and DBSCAN clustering are implemented to study further subgroups of the Ovarian Cancer dataset optimizing results. The effects of different feature selection techniques and the impact of standardization versus normalization are compared on both datasets. …”
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  3. 29943

    Deep Learning Forecast of Semidiurnal Internal Tides From the Mariana Arc by Shuipang Liu, Zhenhua Xu, Jia You, Peiwen Zhang, Xiaofeng Li, Zhongya Cai

    Published 2025-03-01
    “…The results demonstrate BILTA's efficiency and accuracy in forecasting variable semidiurnal internal tides in the West Mariana Basin. …”
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  4. 29944

    A Study on the Performance Improvement of Automatic Intellectual Property Counseling Classification: Using the Transformer-based AI Model BERT by Dong-Hun Noh, Jae-Ok Min, So-Youn Woo

    Published 2024-03-01
    “…However, an investigation as to the distribution of counseling case classification over the past five years showed some differences between the 2018–2020 distribution, classified by professional counselors, and the 2021–2022 distribution, automatically classified by TA. …”
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  5. 29945

    Evaluation of oil yield and quality of BINA mustard’s cultivars under two extraction conditions by Md Rayhanul Haque, Syeeda Shiraj-Um-Monira, Md. Monirujjaman, Shamiul Bashir Plabon, Atia Sanjida Talukder, Mohammad Gulzarul Aziz

    Published 2025-12-01
    “…Seed composition analysis reveals significant differences among the seed types, with variations in moisture, crude lipid, ash, carbohydrate, crude protein, and crude fiber content. …”
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  6. 29946

    Application of the Analytical Hierarchy Process in the management of private ambulance care systems in three selected European countries: a strategic decision-making framework by Jalal Rezaei, Roya Azouji, Mina Azouji, Hamzeh Ghorbani, Hamzeh Ghorbani

    Published 2025-05-01
    “…While Workforce Management and Financial Sustainability rank slightly lower, they remain critical for operational efficiency. The study highlights country-specific challenges and regulatory differences and provides actionable recommendations for optimizing resource allocation, improving service quality, and ensuring compliance. …”
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  7. 29947

    Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network by Pang Lele, Xia Bo, Cheng Zhanfeng, Ren Zhiqiang, Shen Hao, Li Pengfei

    Published 2025-04-01
    “…The proposed model integrates the global search capability of GA with the learning efficiency of BP neural networks, thereby addressing the common issue of local optima encountered in traditional BP-based prediction models. …”
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  8. 29948

    Growth Performance of Asian Seabass (Lates calcarifer, Bloch) in Relation to Stocking Density: Initial Results From Seabass Culture in Open Sea Floating Net Cages in the Cox's Baza... by Md. Golam Mostofa, Saima Sultana Sonia, Shafiqur Rahman, Mritunjoy Paul, Mohammad Khairul Alam Sobuj, Shanur Jahedul Hasan, Md. Zulfikar Ali, Anuradha Bhadra

    Published 2024-12-01
    “…The initial and the final proximate composition of seabass was not significantly different (p > 0.05). Upon completion of the experiment on the 180th day, the growth performance and additional measures, including final body weight, weight gain (WG), percent weight gain (PWG), specific growth rate (SGR), feed conversion ratio (FCR), feed efficiency ratio (FER), survival rate and total production, were assessed. …”
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  9. 29949

    Psychomotor slowing in schizophrenia is associated with aberrant postural control by Melanie G. Nuoffer, Anika Schindel, Stephanie Lefebvre, Florian Wüthrich, Niluja Nadesalingam, Alexandra Kyrou, Hassen Kerkeni, Roger Kalla, Jessica Bernard, Sebastian Walther

    Published 2024-12-01
    “…Furthermore, the loss of complexity in postural control highlights reduced flexibility, adaptability, and efficiency in the postural control network of individuals with schizophrenia.…”
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  10. 29950

    Combined Analysis of SRAP and SSR Markers Reveals Genetic Diversity and Phylogenetic Relationships in Raspberry (<i>Rubus idaeus</i> L.) by Zhifeng Guo, Zhenzhu Fan, Xueyi Li, Haoqi Du, Zhuolong Wu, Tiemei Li, Guohui Yang

    Published 2025-06-01
    “…Their integrated application enhances germplasm characterization efficiency and provides practical strategies for raspberry conservation and molecular breeding.…”
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  11. 29951

    Characterization of an unusual SARS-CoV-2 main protease natural variant exhibiting resistance to nirmatrelvir and ensitrelvir by Dipendra Bhandari, Oksana Gerlits, Stephen Keable, Leighton Coates, Annie Aniana, Rodolfo Ghirlando, Nashaat T. Nashed, Andrey Kovalevsky, John M. Louis

    Published 2025-07-01
    “…Our results suggest that mutational effects are compensated by changes in the conformational dynamics and thereby modulate N-terminal autoprocessing, Kdimer, catalytic efficiency, and inhibitor binding.…”
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  12. 29952

    Optimization of Unnicked β2-Glycoprotein I and High Avidity Anti-β2-Glycoprotein I Antibodies Isolation by Andrej Artenjak, Adrijana Leonardi, Igor Križaj, Aleš Ambrožič, Snezna Sodin-Semrl, Borut Božič, Saša Čučnik

    Published 2014-01-01
    “…In the optimized isolation procedure the high molecular weight protein (proteoglycan 4) was successfully separated from β2GPI in the 1st peaks with size exclusion chromatography. The average efficiency of the isolation procedure for polyclonal HAv anti-β2GPI from different matrixes was 13.8%, as determined by our in-house anti-β2GPI ELISA. …”
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  13. 29953

    Insights into salt perception and cognitive impairment among middle-aged and older adults: a scoping review by Azira Sazali, Suzana Shahar, Hasnah Haron, Nor Fadilah Rajab, Fatin Hanani Mazri, Theng Choon Ooi, Nurul Fatin Malek Rivan

    Published 2025-02-01
    “…However, the remaining three studies did not find significant differences (p > 0.05) in salt taste perception related to cognitive status. …”
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  14. 29954

    Comparative evaluation of the effects of synthetic disease-modifying antirheumatic drugs and biological agents on clinical course, the rate of development of destructive changes, a... by V. I. Mazurov, I. B. Belyaeva, E. A. Trofimov, R. R. Samigullina, I. V. Oktyabrskaya, M. S. Petrova, O. V. Inamova, R. A. Bashkinov

    Published 2019-09-01
    “…There are few studies of the efficiency of therapy with disease-modifying antirheumatic drugs (DMARDs) and biological agents (BAs) in patients with early rheumatoid arthritis (eRA) as part of a treat-to-target strategy.Objective: to investigate the effects of DMARDs and BAs used in combination with methotrexate (MTX) on clinical course, quality of life (QoL), and the evolution of articular erosions and synovitis in patients with RA.Patients and methods. …”
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  15. 29955

    Synergistic Effects of Flower Color and Mechanical Barriers on Pollinator Selection Within the Papilionoideae of Fabaceae by Xiang Zhao, Ruochun Gao, Jie Bai, Jing Rong, Xuexia Wei, Hairong Wang, Xiaojuan Zhu, Kun Sun, Qinzheng Hou

    Published 2025-05-01
    “…These findings demonstrate that flower color and mechanical traits function as complementary filters, optimizing pollinator efficiency and excluding ineffective visitors. The study highlights the necessity to explore multi-trait interactions in plant–pollinator co-evolution, with implications for biodiversity conservation and ecosystem service management.…”
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  16. 29956

    A Local Dwarf Galaxy Search Using Machine Learning by Huanian Zhang, Guangping Ye, Rongyu Wu, Dennis Zaritsky

    Published 2025-01-01
    “…The results of those independent spectral verifications demonstrate the effectiveness and efficiency of our machine learning classification model.…”
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  17. 29957

    Decision-making of drivers following autonomous vehicles: Developing a Bayesian network on the basis of field tests and questionnaire data by Fang Zong, Huan Wu, Meng Zeng, Won Kim, Qiaowen Bai, Yafeng Gong, Ruifeng Duan, Ying Guo

    Published 2025-06-01
    “…This study aims to explore the differences in drivers’ decision-making mechanisms when following AVs and HDVs. …”
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  18. 29958

    Temperature- and pH-Responsive Poly(NIPAM-<i>co</i>-HEMA-<i>co</i>-AAm) Nanogel as a Smart Vehicle for Doxorubicin Delivery; Combating Colorectal Cancer by Soheila Ghasemi, Mehdi Najafi, Mohammad Doroudian, Banafsheh Rastegari, Abbas Behzad-Behbahani, Hadis Soltanimehr, Fatemeh Farjadian

    Published 2025-03-01
    “…The hydrogel structure was confirmed by different characteristic techniques such as <sup>1</sup>H NMR, FT-IR, and SEC, and the morphology and particle diameters were checked via the scanning electron microscopy (SEM) and dynamic light scattering (DLS) methods. …”
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  19. 29959

    A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

    Published 2023-01-01
    “…The introduction of Software-Defined Networking (SDN) separated the control and data forwarding planes, but the data plane still requires a fully programmable packet scheduler that can adapt to different traffic patterns and offer high expressiveness at line rate. …”
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  20. 29960

    Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network by Deliang Xiang, Yu Lu, Dongdong Guan, Guannan Li, Jianda Cheng, Bangjie Li

    Published 2025-01-01
    “…In addition, in the feature fusion module, the method efficiently utilizes shallow features that contain detailed information, such as edges and textures, as well as deep features that contain semantic information. …”
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