Development of methods for neutralizing «Zero-day» threats by A. I. Dubrovina, M. H. Alcordi

“…In this article, a behavioral analysis of the threat is used. The characteristic features of the zero-day exploit behavior have been studied. …”
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Study on β-momorcharin molecular modeling by ZHOU Xiao-dong, SHEN Fu-bing, ZHENG Jue-cun

“…The amino acid composition and hydrophilism and hydrophobicity of β-momorcharin were analyzed by DNAMAN software, and its basic features, secondary and tertiary structures, a coiled coil area and a PEST sequence were predicted by bioinformatics online websites, and the surface potential and accessibility were analysed by bioinformatics software, then the structural quality analysis and detection evaluation on the modeling result were carried out by establishing a Ramachandran graph. …”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

“…Image processing techniques enhance data analysis by precise segmentation of liver structures, fusion of information from multiple modalities, and feature extraction for informed decision-making. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…After preprocessing and feature extraction, we determined the optimal modeling method for prediction accuracy through comparative analysis of multiple models. …”
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Antioxidant protection of a polysaccharide produced by Chaetomium globosum CGMCC 6882 on H2O2-challenged HepG2 cells by Zichao Wang, Yi Zheng, Wenzhuo Lu, Jinchu Yang, Yingjie Feng, Zhitao Li, Na Li, Yahui Yang, Qi Wang, Lemei An

“…CGP-WKO had a yield of 1.53 ± 0.27 g/L and contained 95.85 % ± 3.02 % carbohydrate and 2.94 % ± 0.62 % protein. Structural feature analysis indicated that CGP-WKO contained glucose, glucosamine, mannose, rhamnose, galactose, fructose, and glucuronic acid in a molar ratio of 30.38: 1.34: 32.22: 9.68: 1.59: 0.62: 3.73. …”
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Perancangan dan Implementasi Sistem Informasi Deteksi Kesesuaian Pemanfaatan Ruang Berbasis Web dengan Fitur Geo-Intersection Pada POSTGIS by Issa Arwani, Widhy Hayuhardhika Nugraha Putra, Ghazian Hamdi, Tsania Dzulkarnain

“…Abstract Regional Spatial Planning Analysis (RSPA) is the compatibility process between the spatial use activity plan and the Regional Spatial Planning (RSP). …”
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Vocal biomarkers in heart failure—design, rationale and baseline characteristics of the AHF-Voice study by Fabian Kerwagen, Fabian Kerwagen, Maximilian Bauser, Magdalena Baur, Fabian Kraus, Caroline Morbach, Caroline Morbach, Rüdiger Pryss, Kristen Rak, Stefan Frantz, Stefan Frantz, Michael Weber, Julia Hoxha, Stefan Störk, Stefan Störk

“…The defining clinical feature of AHF is volume overload, leading to pulmonary and peripheral edema and consequently to weight gain. …”
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Towards Explainable Graph Embeddings for Gait Assessment Using Per-Cluster Dimensional Weighting by Chris Lochhead, Robert B. Fisher

“…As gaitpathology assessment systems improve both in accuracy and efficiency, the prospect of using these systems in real healthcare applications is becoming more realistic. Although gait analysis systems have proven capable of detecting gait abnormalities in supervised tasks in laboratories and clinics, there is comparatively little investigation into making such systems explainable to healthcare professionals who would use gait analysis in practice in home-based settings. …”
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Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence by Xuezhi Zhou, Jing Dai, Yizhan Lu, Qingqing Zhao, Yong Liu, Chang Wang, Zongya Zhao, Chong Wang, Zhixian Gao, Yi Yu, Yandong Zhao, Wuteng Cao

“…Methods A total of 238 patients with rectal cancer from two datasets were collected for the development and validation of the prognostic signature. A tumor detection model was built by transfer learning. Then, on the basis of the tumor patches recognized by the tumor detection model, a convolutional autoencoder model was built for decoding the tumor patches into deep latent features. …”
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Application of Artificial Intelligence Models to Predict the Onset or Recurrence of Neovascular Age-Related Macular Degeneration by Francesco Saverio Sorrentino, Marco Zeppieri, Carola Culiersi, Antonio Florido, Katia De Nadai, Ginevra Giovanna Adamo, Marco Pellegrini, Francesco Nasini, Chiara Vivarelli, Marco Mura, Francesco Parmeggiani

“…Novel applications of AI to nAMD have focused on image analysis, specifically for the automated segmentation, extraction, and quantification of imaging-based features included within optical coherence tomography (OCT) pictures. …”
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Explainable Federated Framework for Enhanced Security and Privacy in Connected Vehicles Against Advanced Persistent Threats by Sudhina Kumar G K, Krishna Prakasha K, Balachandra Muniyal, Muttukrishnan Rajarajan

“…The developed framework is subjected to “Shapley Additive explanations (SHAP),” analysis to filter the considerably influential features in APT detection. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…Millimeter-wave cloud radar is widely used for identifying phase states of cloud particles due to its ability to detect internal cloud structures and microphysical characteristics. …”
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Temporal and Spatial Patterns of Blue Carbon Storage in Mangrove and Salt Marsh Ecosystems in Guangdong, China by Di Dong, Huamei Huang, Qing Gao, Kang Li, Shengpeng Zhang, Ran Yan

“…The proposed detection framework provided two coastal vegetation detection methods, exploring the potential of utilizing phenological features to improve the mangrove and salt marsh discrimination accuracy with Landsat data. …”
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CHRONIC HEPATITIS B AND C IN WOMEN: COURSE OF PREGNANCY, DELIVERY AND MORPHOLOGICAL CHARACTERISTICS OF THE PLACENTA by M. A. Belopolskaya, V. Yu. Avrutin, E. A. Rukoiatkina, A. V. Dmitriev

“…The aim of this work was to make a comparative  analysis of the features of pregnancy in women with chronic  hepatitis B and C (CHB and CHC, respectively), to evaluate the  relationship between inflammatory changes in the placenta and the  frequency of hepatitis markers detection in cord blood. …”
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Who benefits from adjuvant chemotherapy? Identification of early recurrence in intrahepatic cholangiocarcinoma patients after curative-intent resection using machine learning algor... by Qi Li, Hengchao Liu, Yubo Ma, Zhenqi Tang, Chen Chen, Dong Zhang, Zhimin Geng

“…Through logistic regression and feature importance analysis, we determined key risk factors and subsequently developed machine learning models utilizing the top five predictors for early recurrence prediction. …”
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RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan

“…The results show that under these four machine approaches of tenfold cross-validation and dataset splitting without samples overlapping one individual, the proposed hybrid model achieves an accuracy of 93.51%, significantly outperforming traditional ML models utilizing static features in detecting Parkinson’s disease.…”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…These transformed data modalities are then simultaneously processed by the SPPMFN, enabling the extraction of features from multiple dimensions. Furthermore, we introduce a self-supervised learning framework that enhances the model’s ability to capture intrinsic relationships within the data, allowing it to detect underlying patterns while effectively mitigating overfitting. …”
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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

“…The advent of deep learning has made it a powerful tool for complex image analysis tasks, such as detecting brain Tumours, by learning advanced patterns from images. …”
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Предпринимательская деятельность в условиях риска

“…The risk inseparably linked with enterprise activity, therefore is necessary monitoring of a situation for the purpose of detection of area of the raised risk, an estimation of possible sources, probabilities of approach and an estimation of degree of risk, the analysis of a comprehensible risk level and realization of measures on its minimization. …”
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An effective fluorescence strategy based on xanthine oxidase catalysis and the carbon dots’ specific response to ·OH for aminophylline pharmacokinetic studies by Chenfang Miao, Menghan Zhang, Ying Zheng, Xiaoyan Lin, Shuangying Yang, Linlin Xu, Sitong Lu, Zhengjun Huang, Jianyong Huang, Yanjie Zheng, Shaohuang Weng

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