DISTINCTIVE FEATURES AND PROSPECTS FOR DEVELOPING INVESTIGATION METHODOLOGIES TO BE USED BY CONSTRUCTION FORENSICS EXPERTS IN ARBITRATION PROCEEDINGS by A. Butyrin, E. Stativa

“…The authors identify distinctive features of the process of developing methodologies that can be used by construction forensics experts in arbitration proceedings. …”
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Comparison of the relationship between key demographic features and physical activity levels across 22 countries by Chung Gun Lee, Elizabeth Kwon, Jason Paltzer, Chukwuemeka N. Okafor, Tyler J. VanderWeele, Byron R. Johnson, Joo Hee Choi

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Overexpression of Osteopontin-a and Osteopontin-c Splice Variants Are Worse Prognostic Features in Colorectal Cancer by Daniella Mattos, Murilo Rocha, Josiane Tessmann, Luciana Ferreira, Etel Gimba

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Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

“…While temporal feature analysis is common, frequency-domain features, derived via spectral analysis (e.g., Fourier Transform), can reveal latent periodicities and seasonality patterns in price movements. …”
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RETRACTED: THE PROBLEMS OF CLASSIFICATION AND SPECIFIC FEATURES OF MORPHOGENESIS OF GLANDS LOCATED IN THE WALLS OF HOLLOW INTERNAL ORGANS by M. P. Sapin, V. N. Nikolenko, D. B. Nikityuk, S. V. Chava

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A Dual-Branch Fusion Model for Deepfake Detection Using Video Frames and Microexpression Features by Georgios Petmezas, Vazgken Vanian, Manuel Pastor Rufete, Eleana E. I. Almaloglou, Dimitris Zarpalas

“…In this paper, we propose a novel approach to deepfake detection by combining video frame analysis with facial microexpression features. The dual-branch fusion model utilizes a 3D ResNet18 for spatiotemporal feature extraction and a transformer model to capture microexpression patterns, which are difficult to replicate in manipulated content. …”
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Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning by Vijay Govindarajan, Junaid Hussain Muzamal

“…Abstract This paper presents a modular and scalable intrusion detection framework that combines graph-based feature extraction, Transformer-based autoencoding, and contrastive learning to improve detection accuracy in cloud environments. …”
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Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies by Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Niko Beerenwinkel, Jack Kuipers

“…Abstract Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes. We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups. …”
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DMAC: Discovering Multi-Attribute Correlations of Deep Quality Features for Defect Detection in Mechanical Components by Yue Yu

“…This paper introduces DMAC (Discovering Multi-Attribute Correlations of Deep Quality Features), a novel framework that enhances defect detection in mechanical components by leveraging multimodal quality-guided deep/shallow feature fusion techniques. …”
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Recurrent features of amplitudes in planar N $$ \mathcal{N} $$ = 4 super Yang-Mills theory by Tianji Cai, François Charton, Kyle Cranmer, Lance J. Dixon, Garrett W. Merz, Matthias Wilhelm

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The impact of social features on the financial sustainability of pension systems in Central and Eastern Europe and Baltic States by Florin Cornel Dumiter, Klaus Bruno Schebesch, Ștefania Amalia Nicoară, Cristian Bențe

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Features of the Technology Companies’ Development in the Context of the Introduction of Financial Technologies: Strategic Trends and OTSW-analysis by A. K. Yakovleva

“…The article reveals the content of the concept of “financial technology”, emphasizes its importance in the strategic development of technology companies in the financial sector. It reflects the features of financial technologies and services as tools to stimulate innovation in the financial sector. …”
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Features of heat and mechanical characteristics of pulsating flows in gas-air paths of piston engines with turbocharging by L. V. Plotnikov, Y. M. Brodov, B. P. Zhilkin, N. I. Grigoriev

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Sleep problems and sensory features in children with low-average cognitive abilities and autism spectrum disorder by Sumie Iwasaki, Yuko Yoshimura, Chiaki Hasegawa, Sanae Tanaka, Takashi Ikeda, Ken Yaoi, Tetsu Hirosawa, Mitsuru Kikuchi

“…However, it remains unclear whether sleep disturbances in children with ASD are related to intelligence or sensory features. This study examined whether sleep disturbances in children can be explained by the presence or absence of ASD characteristics, sensory features, and cognitive skills. …”
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Extra-Nodal Follicular Dendritic Cell Sarcoma with Unusual Morphological Features and PDL1 Expression by Manali Ranade, Aekta Shah, Subhash Yadav, Santosh Menon, Sudeep Gupta

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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…In this paper, we propose Fusion ConvLSTM-Net, a novel fusion encoder-decoder architecture that combines both spatial and temporal features to extend the load forecast to a full 24 hour period. …”
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Features of reproduction of the shrub vole <i>Microtus majori</i> Thomas, 1906 in natural conditions by R. I. Dzuev, A. A. Cheprakova, F. H. Zhilyaeva, K. A. Mashukova

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Features of Imaging of Different Types of Hodgkin’s Lymphoma Using Combined Positron Emission and Computed Tomography by AS Subbotin, NG Afanas’eva

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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This synergy enables effective learning of local features and long-term temporal patterns, resulting in precise predictions. …”
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Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features by Ádám Zsuga, Adrienn Dineva

“…The Transformer model, leveraging self-attention mechanisms, captures both local transient patterns and long-range dependencies within the time-frequency feature space. …”
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