FPE–Transformer: A Feature Positional Encoding-Based Transformer Model for Attack Detection by Hande Çavşi Zaim, Esra Nergis Yolaçan

“…FPE–Transformer incorporates an innovative feature positional encoding mechanism that encodes the positional information of each feature separately, enabling a deeper understanding of feature relationships and more precise attack detection. …”
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Clinical features of dystonia in atypical parkinsonism Características clínicas da distonia no parkinsonismo atípico by Clecio Godeiro-Junior, Andre C. Felício, Orlando G.P. Barsottini, Patricia M. de Carvalho Aguiar, Sonia M.A. Silva, Vanderci Borges, Henrique B. Ferraz

“…CONCLUSION: In our series, dystonia was a common feature in atypical parkinsonism (overall frequency of 50%) and it was part of the natural history although not the first symptom at disease onset. …”
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Imaging features of desmoplakin arrhythmogenic cardiomyopathy: A comparative cardiovascular magnetic resonance study by Mikael Laredo, Etienne Charpentier, Shannon Soulez, Vincent Nguyen, Annamaria Martino, Leonardo Calò, Flavie Ader, Alexis Hermida, Véronique Fressart, Philippe Charron, Nadjia Kachenoura, Estelle Gandjbakhch, Alban Redheuil

“…Methods: Patients with DSP-ACM matched with patients with ACM related to a non-DSP desmosomal mutation and ≥1 feature of LV involvement underwent CMR in two institutions. …”
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Numerical and Experimental Investigation of Heat Transfer Features in a Square Duct with Internal Ribs by Ali Shokor Golam

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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…We utilized several machine-learning algorithms, including Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and Logistic Regression (LR), and extracted a considerable number of handcrafted features. To improve accuracy, we carefully performed feature selection to identify the most relevant features for detecting hate speech in the Albanian language. …”
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Sensitivity Study of Feature Vectors Formed on the Basis of Multiple Scale Transformations of Processed Images by D. V. Vasilieva

“…A concept of image construction for the purposes of feature vector formation was developed.Conclusion. …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

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Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

“…This research addresses the challenge of multiclass categorization by employing Support Vector Machine (SVM) as the core classification algorithm and analyzing its performance in conjunction with feature extraction techniques such as Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP), as well as the dimensionality reduction technique, Principal Component Analysis (PCA). …”
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Immunohistochemical expression of PD-L1 in esophageal carcinoma and its correlation with histopathological features by Tarunpreet Saini, Manisha Sharma

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A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM by Guoli Song, Zheng Huang, Yiwen Zhao, Xingang Zhao, Yunhui Liu, Min Bao, Jianda Han, Peng Li

“…Furthermore, hybrid features, including gray-level co-occurrence matrix, pyramid histogram of the oriented gradient, modified completed local binary pattern, and intensity-based features are extracted together from the enhanced images, and their dimensions are reduced by principal component analysis. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…Feature selection is a crucial preprocessing step in the fields of machine learning, data mining and pattern recognition. …”
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SPECIFIC FEATURES OF HEART RATE VARIABILITY IN CHILDREN WITH ENT PATHOLOGY IN NEED OF SURGICAL TREATMENT by YU. S. АLEKSАNDROVICH, V. V. RYBIANOV, K. V. PSHENISNOV, I. V. АLEKSАNDROVICH

“…The objective of the study: to investigate specific features of heart rate variability in children with chronic ENT pathology in need surgical treatment with general anesthesia. …”
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Clinicopathological Features of Smoking Patients with Multivessel Coronary Artery Disease According to the Frailty Registry by O. V. Nakhratova, D. P. Tsygankova, E. V. Indukaeva, J. M. Center, P. K. Swarovskaya, E. E. Gorbatovskaya, E. D. Bazdyrev

“…To analyse clinicopathological features of smoking patients with multivessel coronary artery disease.Material and Methods. …”
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Features of neuroglia at the epicenter of spinal cord contusion injury and at distant areas in mini-pigs by R. R. Garifulin, A. A. Izmailov, V. A. Markosyan, I. S. Minyazeva, V. V. Valiullin, R. R. Islamov

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FUNCTIONAL AND METABOLIC FEATURES OF BLOOD PHAGOCYTES AT DIFFERENT FORMS OF TUBERCULAR INFLAMMATORY PROCESS OF LUNGS by O. V. Berdyugina, A. V. Yershova

“…Various clinical variants of tubercular inflammatory process necessitate further studies of functional and metabolic features of blood phagocytes in the patients with different forms of lung tuberculosis, being the main goal of this study. …”
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Study on the predictive value of preoperative CT features for the mitotic index of GIST based on the nomogram by Ren Yingzheng, Jiang Linlin, Yang Yang, An Junjie, Dong Yonghong

“…Abstract This study aimed to construct a Nomogram based on preoperative CT features to predict the mitotic index in gastrointestinal stromal tumors and to establish preoperative risk stratification. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…The integration of complementary pattern information deepens feature sharing, thereby enhancing the recognition accuracy of each task. …”
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ANOMALIES ON EEG IN PATIENTS WITH COGNITIVE EPILEPTIFORM DISINTEGRATION AND EPILEPTIC ENCEPHALOPATHIES, ASSOCIATED WITH С BENIGN EPILEPTIFORM PATTERNS OF CHILDHOOD by M. B. Mironov

“…On background of review and discussion of current scientific literature è own data the article presents the main clinical characteristics and anomalies on EEG in patients with cognitive epileptiform disintegration and epileptic encephalopathies, associated with ñ benign epileptiform patterns of childhood. The author describes in detail EEGpatterns — continuous spike and wave activity during sleep and benign epileptiform patterns of childhood, the role of these patterns and their special features in different syndromes of cognitive epileptiform disintegration. …”
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Biogeographical and Ecological Patterns of the Bryophytic Flora Inhabiting the Small Islands Surrounding the Italian Peninsula, Sicily and Sardinia by Silvia Poponessi, Michele Aleffi, Annalena Cogoni, Antonio De Agostini

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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

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