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  1. 2441

    An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications by Yung-Chung Tsao, Fu-Jen Cheng, Yi-Hua Li, Lun-De Liao

    Published 2022-01-01
    “…Such information sharing will enable the utilization of medical resources to be maximized.…”
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    Article
  2. 2442

    Satellite images in the new Atlas «Russian Arctic» by V. I. Kravtsova, E. I. Pizhankova, A. I. Kizyakov, A. V. Gavrilov

    Published 2019-09-01
    “…The impact of using mineral resources on the vulnerable nature of the Arctic is shown in the Khibiny region. …”
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    Article
  3. 2443

    Formation and peculiarities of advertising campaign by Yu.O. Golovchuk, L.V. Dibchuk

    Published 2020-03-01
    “…The problem of advertising has outgrown creative messages and impressive visuals. It's about finding the best way to deliver a message that will reach the consumer at the right time and place, and it all uses a new range of tools. …”
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    Article
  4. 2444

    hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

    Published 2025-01-01
    “…To confirm this, we performed clustering analysis and visualized a correlation heatmap, verifying the interactions between distant atoms were considered during the training process. …”
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    Article
  5. 2445

    Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

    Published 2025-07-01
    “…The Segment Anything Model 2 (SAM2) has achieved state-of-the-art performance in pixel-level object segmentation for both static and dynamic visual content. Its streaming memory architecture maintains spatial context across video sequences, yet struggles with long-term tracking due to its static inference framework. …”
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    Article
  6. 2446
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    AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

    Published 2025-03-01
    “…Second, adverse weather conditions and complex sea surface environments may affect the accuracy of visual recognition. To address the above issues, we produce a private dataset containing 2436 images of ships in a variety of scenarios and propose an algorithm (AILDP) for interactive feature learning and adaptive enhancement to tackle multiple challenges in ship number recognition. …”
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    Article
  9. 2449

    Typification of Projects for the Transition to Cloud Services by A. G. Voronova

    Published 2024-09-01
    “…In this way, the parties can free up significant resources in terms of time, labor and other costs. …”
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    Article
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  11. 2451

    Validation and Comparison of Pediatric Appendicitis Scores and Management Strategies (Project SPASMS): Protocol for a Prospective Multicenter Observational Study by Wei Hao Lee, Sharon O'Brien, Elizabeth J Mckinnon, Simon Craig, Stuart Dalziel, Michael Collin, Natalie Phillips, Franz E Babl, Sarah Julia Davidson, Shane George, Shefali Jani, Doris Tham, Viet Tran, Meredith L Borland

    Published 2025-06-01
    “…Implementation of this CPS in ANZ EDs has the potential to reduce health care costs, rationalize the use of health care resources, and improve the management and outcomes of childhood appendicitis. …”
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    Article
  12. 2452

    TCSRNet: a lightweight tobacco leaf curing stage recognition network model by Panzhen Zhao, Panzhen Zhao, Songfeng Wang, Shijiang Duan, Aihua Wang, Lingfeng Meng, Yichong Hu

    Published 2024-12-01
    “…Due to the constraints of the tobacco leaf curing environment and computational resources, current image classification models struggle to balance recognition accuracy and computational efficiency, making practical deployment challenging. …”
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    Article
  13. 2453

    Using a collaborative approach to reduce falls in older people’s adult mental health wards in a local health board in Wales by Melanie Davies, Simon Williams, Louise Walker, Dolores Macchiavello, Zoe Williams, Paul Gimson, Kerstin Ackermann-Lloyd, Sophie Bassett, Christopher Bevan, Anna Brooks, Naomi Elias, Jessica Gapper, Gemma Gash, Andrew Hermolle, Naomi Hill, Caroline Humphreys, Bhuvan Kckhadka, Ana Llewellyn, Bleddyn Marsh, Leah Price, Bethan Rees, Leah Richards, Alison Sproston, Eleri Wright, Philippa Clark

    Published 2025-04-01
    “…Adult patients in hospital may be at risk of falling for many reasons including a history of falls, being medically unwell, dementia or delirium, the effects of their treatment or medication, poor mobility, visual and other sensory impairments along with their general well-being. …”
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    Article
  14. 2454

    Characterization of Celosia argentea Linn. germplasm using ISSR markers by Odunayo Joseph OLAWUYI, Haneefah Lola MISBAHUDEEN, Oluwagbade Joseph ODIMAYO, Adedayo Omotayo FANEYE, Olumayowa Mary OLOWE, Akinlolu Olalekan AKANMU

    Published 2024-06-01
    “…A total of 15 C. argentea genotypes were sourced from National Centre for Genetic Resources and Biotechnology (NACGRAB) in Ibadan, Nigeria and 10 genotypes sourced from different markets. …”
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    Article
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    Development of a method for rapid evaluation of the color of flour and pasta made from wheat of different species by Л. А. Вечерська, О. В. Голік, Л. І. Реліна, Л. І. Буряк, Т. А. Шелякіна

    Published 2020-12-01
    “…Yuryev and samples of the National Center for Genetic Resources of Plants of Ukraine, 2018–2020 harvest. …”
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    Article
  18. 2458

    Development of a Frailty Prediction Model Among Older Adults in China: A Cross‐Sectional Analysis Using the Chinese Longitudinal Healthy Longevity Survey by Xianping Tang, Dongdong Shen, Tian Zhou, Song Ge, Xiang Wu, Aming Wang, Mei Li, Youbing Xia

    Published 2024-11-01
    “…Frailty was assessed using the Frailty Index. A visual nomogram model was constructed based on independent predictors identified using multivariate analysis. …”
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    Article
  19. 2459

    On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part I by O. Yu. Shchelkova, M. V. Iakovleva, D. A. Eremina, R. Yu. Shindrikov, N. E. Kruglova, I. A. Gorbunov, E. A. Demchenko

    Published 2023-06-01
    “…A total of 245  indicators were taken into account; they were expertly divided into five groups: clinical, socio-behavioural, personality characteristics, emotional state indicators, and cognitive functioning indicators. 3)  The missing cells in the sampling matrix were filled in by means of mathematical modelling and neural networks. 4) An exploratory factor analysis of all characteristics in the allocated groups was performed, resulting in 24  factors: 3  in the group of clinical characteristics (“Coronary heart disease”, “Transplantation”, “Patient’s age and duration of heart failure”), 6  in the group of socio-behavioural (“Social and occupational orientation”, “Keeping a habitual lifestyle in spite of illness”, “Occupational strain”, “Lifestyle”, “Non-adherent behaviour”, “Occupational stress”), 5  in the group of personality characteristics (“Attitude towards illness”, “Motivational orientation”, “Decreased resilience”, “Irrational beliefs”, “Coping strategies and coping resources”), 4 in the group of emotional state characteristics (“Dominant emotional state and feelings”, “Quality of life and mood”, “Absence of anxiety at the moment of the study”, “Functioning in conditions of illness”), 6  in the group of characteristics of cognitive functioning (“Neuropsychological characteristics”, “Spatial–constructive thinking and pace of mental activity”, “Visual memory”, “Attention and verbal–logical thinking”, “Verbal memory”, “No significant decrease in IQ”).…”
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  20. 2460

    Improved CSW-YOLO Model for Bitter Melon Phenotype Detection by Haobin Xu, Xianhua Zhang, Weilin Shen, Zhiqiang Lin, Shuang Liu, Qi Jia, Honglong Li, Jingyuan Zheng, Fenglin Zhong

    Published 2024-11-01
    “…This research provides an accurate and reliable method for bitter melon phenotype identification and also offers technical support for the visual detection technologies of other agricultural products.…”
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