Hybrid AE and Bi-LSTM-Aided Sparse Multipath Channel Estimation in OFDM Systems by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…AE handles feature extraction, while Bi-LSTM performs estimation. …”
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The observational EURACAN prospective clinical registry dedicated to epithelioid hemangioendothelioma: The protocol of an international and collaborative effort on an ultra-rare en... by Anna Maria Frezza, Hugh Leonard, Ninna Aggerholm-Pedersen, Giuseppe Badalamenti, Paolo Baili, Giacomo G Baldi, Sebastian Bauer, Serena Bazzurri, Irene Benzonelli, Alexia Bertuzzi, Jean-Yves Blay, Giuseppe Bianchi, Simone Bonfarnuzzo, Christophe Bouvier, Kyetil Boye, Javier Martin Broto, Antonella Brunello, Domenico Campanacci, Paolo G Casali, Carlo Cicala, Elisa Crotti, Lorenzo D'Ambrosio, Angelo Paolo Dei Tos, Nils Dieckmann, Armelle Dufresne, Stephanie Elston, Virginia Ferraresi, Stefano Gabellini, Claudia Giani, Vincenzo Giannusa, Melissa Gil Sanjines, Teresa Grassani, Alessandro Gronchi, Paolo Lasalvia, Stefan Lindskog, Nadia Hindi, Matilde Ingrosso, Andrei Ivanescu, Robin Jones, Iwona Lugowska, Julia Ketzer, Anna Mariuk-Jarema, Alessandro Mazzocca, Laura Monteleone, Carlo Morosi, Andrea Napolitano, Francesca Nardozza, Elisabetta Neri, Maria Nilsson, Andri Papakonstantinou, Sandro Pasquali, Marta Sbaraglia, Federico Scolari, Joanna Szkandera, Claudia Valverde, Bruno Vincenzi, Salvatore Vizzaccaro, Federica Zuccheri, Silvia Stacchiotti, Annalisa Trama

“…VariablesFull details on patients and disease features, treatment and outcome will be collected, according to common clinical practice guidelines developed and shared with all the contributing centers. …”
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Exploring the interplay between population profile and optimal routes in U.S. cities by Diego Ortega, Elka Korutcheva

“…We also established a classification for cities and developed a simple point pattern model for the population, which aligns with the well-known decreasing exponential density expression. …”
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The Breast–Areola Reduction/Reconstruction Technique Addressing the Central Lumpectomy Defect in Ptotic Breasts by Brian S. Wong Won, MD, Howard T. Wang, MD, Efstathios Karamanos, MD

“…The BARR technique features principles that are foundational to plastic surgery training, which should augment the acquisition and delivery of oncoplastic surgery in the era of progress to come.…”
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Electroencephalography in congenital malformations of the central nervous system by Patrícia Campos, Guillermo Cruz, Rodolfo Lizarraga, Ernesto Bancalari, Daniel Guillen, Carlos Castañeda

“…We studied clinical and EEG features of 36 cases with congenital malformations of the CNS. …”
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Atypical cristae in bundle sheath mitochondria in leaves of Atriplex tatarica (Chenopodiaceae s. str. / Amaranthaceae s. l.) by Fediuk O., Bilyavska N., Akimov Yu., Zolotareva O.

“…Electron microscopic analysis of leaf ultrastructure patterns of Atriplex tatarica (Chenopodiaceae s. str. / Amaranthaceae s. l.) revealed a prominent feature in mitochondria in bundle sheath cells (BSCs). …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…A data set of average feature counts has been executed through a Splunk search command in 1-min intervals. …”
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Axisymmetric dispersal of hydrogen in the retina by W.F. Mansoor, G.C. Hocking, D. Farrow, B.A. Kalaf

“…In this paper, we consider a model of just the choroid and avascular layer assuming axisymmetric flow and diffusion, identifying the dispersion pattern from the central region outward. This model captures several significant features of the exchange process and highlights the effects that must be considered in developing more sophisticated models and interpreting experimental results.…”
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Anaesthetic profile of thymol and menthol in zebrafish larvae model by Raquel S.F. Vieira, Diana Sousa, Luís M. Félix, Carlos A.S. Venâncio

“…Thus, further investigation of its anaesthetic properties seems imperative, and the use of the zebrafish in the early stages of its development is an appropriate model due to its advantages. …”
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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…Random Forest outperformed XGBoost, Support Vector Regression, and Artificial Neural Network, demonstrating the most robust performance and the clearest feature attribution. Our climate scenario simulations revealed uneven sedimentation patterns and projected declining sedimentation rates over the next 30 years. …”
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Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction by Raja Ayu Mahessya, Dian Eka Putra, Rostam Ahmad Efendi, Rayendra, Rozi Meri, Riyan Ikhbal Salam, Dedi Mardianto, Ikhsan, Ismael, Arif Rizki Marsa

“…This study demonstrates the capacity of decision tree models to extract clinically meaningful patterns from small, imbalanced surgical datasets that elude conventional statistical approaches.…”
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Predicting female football outcomes by machine learning: behavioural analysis of goals as high stress events by Aratz Olaizola, Ibai Errekagorri, Elsa Fernández, Julen Castellano, John Suckling, Karmele Lopez-de-Ipina

“…We applied a comprehensive approach that integrates spatiotemporal and behavioural data during the transitional period following goals focusing on team dynamics, including chaotic and collective behavioural analysis with entropy and fractality, spatial area, movement trajectories, and locomotor patterns. Several well-established ML models and feature extraction techniques were deployed with overall good performance of greater than 70% accuracy, with some specific methodology combinations have superior performance. …”
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Myeloperoxidase‐Antibody Positivity and Progression to Microscopic Polyangiitis in Interstitial Lung Disease: A Case Series by Michael Hoskins, Grace Thompson, Vidya Navaratnam

“…These features may be used by clinicians during multidisciplinary team discussion to identify those at high‐risk of developing MPA.…”
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Improving ICESat-2 photon classification and tree height estimation using Moran's I and machine learning by Mei-Kuei Lu, Sorin Popescu, Lonesome Malambo

“…Random Forest models were developed and compared, with one model incorporating Moran's I to capture spatial patterns. …”
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Examining the role of semiotics in social media-driven information campaigns by Mayor Inna Gurung, Nitin Agarwal

“…Engagement was measured by likes, while diffusion patterns followed the SEIZ epidemiological model. Findings show that posts featuring SCP symbols consistently received more interaction, even when follower counts were equal. …”
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Advances in Bract Coloration: Diversity, Pigment Synthesis, and Regulatory Mechanisms in Ornamental Plants by Xiaoyang Li, Yang Liu, Zhiquan Cai, Yiwei Zhou

“…While previous research has primarily focused on floral pigmentation, studies on bract coloration—particularly in species where bracts serve as the primary ornamental feature—have received less attention until recent advances. …”
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An Explainable Hybrid CNN–Transformer Architecture for Visual Malware Classification by Mohammed Alshomrani, Aiiad Albeshri, Abdulaziz A. Alsulami, Badraddin Alturki

“…Visual malware classification, which transforms malware binaries into grayscale images, has emerged as a promising alternative for recognizing patterns in malicious code. This study presents a hybrid deep learning architecture that combines the local feature extraction capabilities of ConvNeXt-Tiny (a CNN-based model) with the global context modeling of the Swin Transformer. …”
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Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping by Erfan Zarenia, Amirhossein Akhlaghi Far, Khosro Rezaee

“…To improve tumor characterization, we applied data augmentation techniques to MR images and developed a hierarchical multiscale deformable attention module (MS-DAM). …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…Recent studies have demonstrated that target-specific scoring functions developed using machine learning approaches can enhance the accuracy of virtual screening. …”
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Multivariate analysis of energy and solar performance across Dubai: insights from MANOVA and cluster analysis by Mayyas Alsalman, Marwa Alraeesi, Ayman Alzaatreh

“…Abstract Solar energy adoption became a key component in achieving the UAE’s sustainability strategy, featuring the abundance of solar irradiance in the region that tends to reduce the dependence on carbon-based resources through solar energy integration. …”
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