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  1. 81

    Addressing the rising fear of nomophobia among medical students by Gabrielle Vivian Rhonda Desouza, Esha Saqlain, Ahsan Shabbir, Hassan Ahmed

    Published 2024-12-01
    “… Dear Editor, I am writing to draw your attention to an escalating fear of nomophobia in the medical student community. Nomophobia or no mobile phobia is a self-build fear of missing out on mobile phones, which is becoming prevalent in the younger generation. …”
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    Article
  2. 82

    Changes in Dental Caries Risk among Middle School Students Using an ICT-Based Caries Management Program by An-Na Yeo, Yu-Min Kang, Su-Young Lee

    Published 2025-03-01
    “…This study evaluated the effectiveness of the CAMBRA-students mobile application, integrated with an information and communication technology (ICT) based intervention, in modifying caries risk factors in middle school students. …”
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    Article
  3. 83
  4. 84

    Brainwave Activity Localization, Mood Symptoms, and Balance Impairment in a Male South African Rugby Player With Persisting Symptoms After Concussion: A Case Report by M. J. Lumb, N. Snegireva, A. M. Coetzee, K. E. Welman

    Published 2025-02-01
    “…ABSTRACT The case sets the foundation for clinical protocols to incorporate mobile EEG and qEEG techniques, instrumental balance testing, and mood symptom screening in athletes who have suffered a sports‐related concussion. …”
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  5. 85
  6. 86

    Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility by Junko Ami, Yanbo Pang, Hiroshi Masui, Takashi Okumura, Yoshihide Sekimoto

    Published 2025-01-01
    “…Therefore, to make DCT a truly usable tool, it is crucial to develop a DCT system that possesses high sensitivity, without depending on the application usage rate.The Computation of Infection Risk via Confidential Locational Entries (CIRCLE) is a DCT method that utilizes connection logs from mobile phone base stations, theoretically offering much higher sensitivity than BLE-based DCT. …”
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  7. 87
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    A Sociological study of the Relationship between Smartphone Addiction and Phubbing Case Study18-29 Year Old Females of Ramhormoz City by Ali Boudaghi, Ali Hossein Hosseinzadeh, Sayedeh Sara Mousavi Moghadam

    Published 2024-12-01
    “…Phubbing, which means ignoring others while using a mobile phone, overshadows the quality of social relationships, social skills, well-being and marital satisfaction of the females. …”
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    Article
  10. 90
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    Integrating LINE BOT and Building Information Model to develop construction information management system by Yu-Jen Cheng, Minh-Tu Cao, Shih-Hsu Wang, Ngoc-Mai Nguyen, Shih-Sin Chen, Wei-Chih Wang

    Published 2025-06-01
    “…During the maintenance phase, users can also access relevant equipment objects through the BIM model using mobile smart devices, further improving maintenance efficiency. …”
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    Article
  12. 92

    MSCD-YOLO: A Lightweight Dense Pedestrian Detection Model with Finer-Grained Feature Information Interaction by Qiang Liu, Zhongmin Li, Lei Zhang, Jin Deng

    Published 2025-01-01
    “…Existing methods suffer from low detection accuracy, high miss rates, large model parameters, and poor robustness. …”
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  13. 93
  14. 94

    Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle by Hammad Shahab, Muhammad Iqbal, Ahmed Sohaib, Atiq ur Rehman, Amine Bermak, Kashif Munir

    Published 2024-12-01
    “…On a cloud-based online platform, and integrated into the mobile application provides a comprehensive experience and timely alerts to provide potential health issues. …”
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    Article
  15. 95

    SMEA-YOLOv8n: A Sheep Facial Expression Recognition Method Based on an Improved YOLOv8n Model by Wenbo Yu, Xiang Yang, Yongqi Liu, Chuanzhong Xuan, Ruoya Xie, Chuanjiu Wang

    Published 2024-11-01
    “…In response to challenges such as missed detections, false positives, and low recognition accuracy in sheep facial expression recognition, this paper introduces an enhanced algorithm based on YOLOv8n, referred to as SimAM-MobileViTAttention-EfficiCIoU-AA2_SPPF-YOLOv8n (SMEA-YOLOv8n). …”
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  16. 96

    AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

    Published 2025-03-01
    “…Security operators can struggle to maintain focus over prolonged periods, leading to missed events or delayed responses. An automated system can help mitigate this by providing continuous, reliable monitoring and rapid anomaly detection. …”
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  17. 97
  18. 98

    Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO by Yanhong Zhang, Pei Li, Yihua Lan, Xiao Jia, Yingjie Lv

    Published 2024-01-01
    “…Second, a lightweight backbone network, MobileNetV2-ODConv, is used to improve the ability of the network to extract features of lumps in breast X-ray images while reducing the number of parameters and floating-point operations. …”
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    User acceptance of battery swapping in battery electric vehicles among private users in Germany by Jan Kegel, Jan Wiesenthal, Malte Welling, Aniket Kapse, Bernd Hirschl, Dirk Uwe Sauer

    Published 2025-06-01
    “…Abstract The market ramp-up of battery electric vehicles (BEVs) continues to falter in Germany. One reason is missing user acceptance for BEVs, mainly due to insufficient range, inadequate charging infrastructure, and excessive costs. …”
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