Ticagrelor or dipyridamole plus aspirin may be a promising antiplatelet therapy in patients with minor stroke or transient ischemic attack: a bayesian network meta-analysis by Shiran Qin, Si Gao, Dandan Xu, Li Zhang, Yanmei Luo, Sitong Guo

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PROMISING WATERMELON VARIETY ‘METEOR’ by S. V. Malueva, E. A. Varivoda, I. N. Bocherova

“…According to research results, comparative characteristics between new promising variety ‘Meteor’ and control variety ‘Zenith’ were given. …”
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The role of diet in the prevention of migraine attacks by O. O. Kopchak, O. Ye. Hrytsenko

“…An update on the role of diet in the pathogenesis and prevention of migraine attacks is an extremely important and promising scientific field, which requires further research with the development of personalized approaches taking into account the individual characteristics of each patient.…”
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Torsion point attacks on ‘SIDH‐like’ cryptosystems by Péter Kutas, Christophe Petit

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Face Spoof Attack Recognition Using Discriminative Image Patches by Zahid Akhtar, Gian Luca Foresti

“…Experimental analysis on two publicly available databases (Idiap REPLAY-ATTACK and CASIA-FASD) shows promising results compared to existing works.…”
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Hybridization of Swarm for Features Selection to Modeling Heart Attack Data by Omar Shakir, Ibrahim Saleh

“…Predicting heart attacks using machine learning is an important topic. …”
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Attacks and countermeasures on federated learning via historical knowledge modeling by Songsong Zhang, Zhengliang Jiang, Hang Gao, Suying Gui, Tiegang Gao

“…Abstract Federated learning has emerged as a promising paradigm for privacy-preserving multi-source data fusion. …”
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Physics-Informed Graph Neural Networks for Attack Path Prediction by Marin François, Pierre-Emmanuel Arduin, Myriam Merad

“…The automated identification and evaluation of potential attack paths within infrastructures is a critical aspect of cybersecurity risk assessment. …”
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The study of promising secure information systems based on signal modeling by V. A. Sizov, D. M. Malinichev, Kh. K. Kuchmezov

“…Instead, you have to think about such things as data manipulation attacks, which, for example, can be used to command the mechanisms to perform certain actions (for example, open the door or take control of an unmanned vehicle). …”
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Towards distinguishing trust based attacks in an IoV network by Yingxun Wang, Adnan Mahmood, Mohamad Faizrizwan Mohd Sabri, Hushairi Zen

“…Nevertheless, trust-based attacks also present a formidable challenge. Therefore, in this paper, an IoV-based trust management heuristic has been envisaged that takes into account both direct trust and indirect trust to ascertain the behaviors of the vehicles vis-à-vis time in a bid to detect various trust-based attacks, i.e., zig-zag attacks, self-promoting attacks, on-off attacks, and opportunistic attacks, along with the attackers’ multiple attacking strategies. …”
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Informer-based DDoS attack detection method for the power Internet of Things. by Wei Cui, Xiao Liao, Yang Yang, Shiying Feng, Mingyan Song

“…Traditional network intrusion detection systems often rely on manually engineered features, which are not only resource-intensive but also struggle to handle the diverse range of attack types. This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. …”
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Fuzzy Matching Template Attacks on Multivariate Cryptography: A Case Study by Weijian Li, Xian Huang, Huimin Zhao, Guoliang Xie, Fuxiang Lu

“…Multivariate cryptography is one of the most promising candidates for post-quantum cryptography. …”
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On the generalisation capabilities of Fisher vector‐based face presentation attack detection by Lázaro J. González‐Soler, Marta Gomez‐Barrero, Christoph Busch

“…A feature space based on Fisher Vectors computed from compact binarised statistical image features histograms, which allows discovering semantic feature subsets from known samples to enhance the detection of unknown attacks is presented. This representation, which is evaluated for challenging unknown attacks taken from freely available facial databases, reports promising results. …”
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Transgenic poplar for resistance against pest and pathogen attack in forests: an overview by Swati Sharan, Amrita Chakraborty, Amit Roy, Indrakant K. Singh, Archana Singh, Archana Singh

“…However, several biotic stresses, such as attacks by pests and pathogens, severely affect poplar production and productivity. …”
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Understanding Xenophobic Attacks in South Africa: A Systematic Literature Review by Bethuel Sibongiseni Ngcamu

“…The study’s findings demonstrate that peer pressure, failure to provide the promised basic needs to the citizens, and denialism by the government all contribute to the xenophobic attacks in South Africa. …”
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You Only Attack Once: Single-Step DeepFool Algorithm by Jun Li, Yanwei Xu, Yaocun Hu, Yongyong Ma, Xin Yin

“…Under a single iteration, it achieves a 70.6% higher success rate of the attacks compared to the DeepFool algorithm. Our proposed method shows promise for widespread application in both offensive and defensive strategies for diverse deep learning models. …”
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Teplizumab: a promising intervention for delaying type 1 diabetes progression by Muhammad Rizwan Saleem, Muhammad Talha Khan

“…Type 1 diabetes (T1D) arises from an autoimmune attack on pancreatic beta cells, leading to a reliance on external insulin to maintain glucose levels. …”
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Intratumoral immunotherapy prior to cancer surgery, a promising therapeutic approach by Kevine Silihe Kamga, Steven Fiering

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DDoS Attacks Detection With Deep Learning Approach Using Convolutional Neural Network by Rafiq Amalul Widodo, Mera Kartika Delimayanti, Asri Wulandari

“…The detection system of DDoS (Distributed Denial-of-Service) attacks aims to enhance network security across all facets of internet technology utilization. …”
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Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks by Faisal Hameed, Hoda Alkhzaimi

“…These findings validate genetic algorithms as a robust alternative for optimizing side-channel attack models, offering both scalability and consistent performance across diverse attack scenarios while advancing the state of cryptographic security assessment.…”
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