CHARACTERISTICS OF PATIENTS WITH CEREBRAL STROKE OR TRANSIENT ISCHEMIC ATTACK, INCLUDED INTO THE LIS-2 REGISTER (LYUBERTSY STUDY OF MORTALITY IN PATIENTS AFTER STROKE) by S. Yu. Martsevich, N. P. Kutishenko, A. Yu. Suvorov, M. L. Ginzburg, A. D. Deev, S. A. Boytsov, A. V. Akimova, E. V. Daniels, N. A. Dmitrieva, L. Yu. Drozdova, N. Yu. Zhuravskaya, O. V. Lerman, Yu. V. Lukina, M. M. Loukianov, V. P. Smirnov, A. V. Fokina

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Cross-sector collaboration to develop a mobile health solution for promotion of physical activity after stroke or transient ischaemic attack in Sweden by Charlotte Thurston, Sverker Johansson, Lena von Koch, Coralie English, David Moulaee Conradsson

“…The development process consisted of three phases: 1) startup, prioritisation, and specifications for digitalisation; 2) development of the mHealth prototype; and 3) prototype adaptation based on feedback on end-user workshops. …”
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Mal-Detect: An intelligent visualization approach for malware detection by Olorunjube James Falana, Adesina Simon Sodiya, Saidat Adebukola Onashoga, Biodun Surajudeen Badmus

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Clinical cases of cerebral venous thrombosis at the onset of paroxysmal conditions by I. N. Stepanov, N. Yu. Ryazantseva

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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

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Monetary policy of the National bank of Kazakhstan: chronological analysis and assessment by D. B. Kanagatova, V. N. Sidorenko

“…The authors revealed the necessary conditions for the occurrence of speculative attacks on the currency market. Based on these patterns, three options for the Central Bank’s actions to prevent speculative attacks are proposed. …”
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Fully secure and hierarchical identity based signature for automatic dependent surveillance broadcast systems by Qihong Yu

“…The proposed construction has three characteristics. Firstly, our scheme achieves full security under standard model, which means that its security is independent of the number of inquiries from the attacker. …”
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Integrated intrusion detection design with discretion of leading agent using machine learning for efficient MANET system by K. S. Nirmala Bai, Dr M.V. Subramanyam

“…At first, the IDS is performed in the network using Adaptive Ensemble Tree Learning (AETL) based classification of typical nodes and malicious intrusions. …”
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THE AUTHENTICATION PROCESS USING GRAPHICAL PASSWORDS by Sergei N. Davydov, Michael Ya. Kleptsov, Larisa V. Lyubimova

“…On three examples of dynamic graphical authentication article demonstrates how with user-friendly, graphical password can be stable.…”
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Structural robustness of China’s UAV enterprise network: a national and provincial analysis based on business homogeneity by Xuemei Zhang, Jianfeng Guo, Jianfeng Guo, Siyao Liu

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Spectral–spatial mamba adversarial defense network for hyperspectral image classification by Zhongqiang Zhang, Ye Wang, Dahua Gao, Haoyong Li, Guangming Shi

“…The dense involution branch extracts embedding features via three dense involution layers. The spectral mamba branch can learn the spectral sequence information from HSI adversarial samples. …”
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Comparative study of the two-shift fast break velocity index for the first three teams to qualify for the Golden Pistol of the Basketball Premier League (2016-2017) by نور الهدى ستار جبار, أ.د. هدى شهاب جاري

“…As for the research sample, it included the first three clubs of the Premier League basketball (2016-2017). …”
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Classification and identification of pest, diseases and nutrient deficiency in paddy using layer based EMD phase features with decision tree by A. Pushpa Athisaya Sakila Rani, N. Suresh Singh

“…The features are trained/classified using the decision tree classifiers that classify the pest attack, disease incidence, and nutrient deficiency categories. …”
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A DMPC-based three-dimensional cooperative guidance scheme with impact time and impact angle constraints by Zijie Jiang, Xiuxia Yang, Cong Wang, Yi Zhang, Hao Yu

“…In this paper, a distributed model predictive control (DMPC)-based three-dimensional (3D) cooperative guidance scheme is proposed for multiple interceptors with controllable thrust and constrained acceleration, to simultaneously attack a maneuvering target at desired terminal angles. …”
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Resilience evolution and optimization strategies of ecological networks in the Three Gorges Reservoir Area: A scenario-based simulation approach by Haohua Wang, Lulu Zhou, Kangchuan Su, Yun Zhou, Qingyuan Yang

“…This study focuses on the Three Gorges Reservoir Area (TGRA), addressing human-land relationship conflicts by constructing an EN system and analyzing its spatiotemporal evolution from 2001 to 2023. …”
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Three-spined sticklebacks recognize familiar individuals by facial recognition by Shumpei Sogawa, Izumi Inoue, Satoshi Awata, Koki Ikeya, Kento Kawasaka, Masanori Kohda

“…These results suggest that the three-spined stickleback exclusively distinguishes familiar neighbours from unknown fish via facial recognition. …”
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Perch Selection by Three Cooccurring Species of Celithemis (Odonata: Libellulidae): Testing for a Competitive Hierarchy among Similar Species by Wade B. Worthen, Parker H. Morrow

“…We tested for this pattern among three similar-sized species: Celithemis elisa, C. fasciata, and C. ornata. …”
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A network recovery strategy based on boundary nodes and tetrahedral approximation fermat points in three-dimensional wireless sensor networks by Bin Xu, Hongsheng Chen, Yanxu Cheng

“…Abstract Wireless Sensor Networks (WSNs) have emerged as a critical research frontier in the Internet of Things (IoT) domain, with widespread applications in three-dimensional environments. However, due to harsh environments (such as high temperature, high pressure, etc.), natural disasters (such as earthquakes, etc.), large-scale attacks (such as bombing), WSNs in a certain area is split into many isolated islands, and the regional network fails. …”
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Evaluation of Farmers Management Practices of Arabica Coffee Plantation Across Altitude for Climate Change Adaptation Strategies in Aceh, Indonesia by Ashabul Anhar, Heru P. Widayat, Ali Muhammad Muslih, Subhan Subhan, Romano Romano, Akhmad Baihaqi, Teuku Saiful Bahri, Zulkarnain Zulkarnain, Bagio Bagio, Yusmaizal Yusmaizal, Yusya Abubakar

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Early Prediction of Stroke Risk Using Machine Learning Approaches and Imbalanced Data by Hassan Qassim

“…The findings showed that KNN outperformed the three other models with an achieved accuracy of 90%. …”
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