Extended homogeneous field correction method based on oblique projection in OPM-MEG by Fulong Wang, Fuzhi Cao, Yujie Ma, Ruochen Zhao, Ruonan Wang, Nan An, Min Xiang, Dawei Wang, Xiaolin Ning

“…The homogeneous field correction (HFC) method resolves this problem by constructing a low-rank spatial model; however, it cannot address complex non-homogeneous noise. …”
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Altered Morphological Characteristics Associated With Spatial Working Memory Performance in Children With ADHD by Lanfang Chen, Yishan Lin, Qianhui Wang, Chao Zhang, Shuqin Zhang, Rui Li, Lili Lin, Qianqian Sun, Yi Zeng

“…Background: Spatial working memory (SWM) deficit is a common problem in attention deficit disorder with hyperactivity (ADHD), often correlating with the severity of ADHD symptoms and academic difficulties. …”
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Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images by Oleksandr Korchenko, Ihor Tereikovskyi, Ruslana Ziubina, Liudmyla Tereikovska, Oleksandr Korystin, Oleh Tereikovskyi, Volodymyr Karpinskyi

“…Innovative features of the developed modular model include the ability to recognize spoofing attacks based on environmental artifacts and the naturalness of emotions, as well as an increase in the accuracy of person recognition due to the use of a U-Net neural network to highlight natural facial contours in occlusions. …”
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Ukrainian guidelines for the prevention and treatment of glucocorticoid-induced osteoporosis by N.V. Grygorieva, V.M. Kovalenko, М.О. Коrzh, M.D. Tronko, I.Yu. Golovach, N.V. Dedukh, D.G. Rekalov, S.S. Strafun, S.I. Smiyan, O.A. Golubovska, Ya.O. Dziublyk, N.V. Kharchenko, G.O. Protsenko, O.O. Garmish, V.L. Orlenko, F.V. Klymovytsky, А.S. Musiіenko, T.A. Karasevska

“…The authors emphasized the need to increase the awareness of the medical community of Ukraine regarding the problem, as well as patients regarding the possible side effects of GC. …”
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The Bayesian reconstruction and the evolutionary history of Salivirus type 1 and type 2: the worldwide spreading by Silvia Angeletti, Domenico Benvenuto, Marta Fogolari, Cecilia De Flora, Giancarlo Ceccarelli, Ivana Maida, Riccardo Bazzardi, Silvia Spoto, Stefano Pascarella, Boban Mugosa, Massimo Ciccozzi

“… Introduction: Salivirus (SalV) represents an emerging problem in public health especially during the recent years. …”
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Joint Class and Domain Continual Learning for Decentralized Federated Processes by Chiara Lanza, Tinne Tuytelaars, Marco Miozzo, Eduard Angelats, Paolo Dini

“…In this work, we formulate a joint Class and Domain Continual Learning problem, where local data at the nodes might include multiple classes belonging to different domains. …”
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First island-wide, single-day soil collection study on Crete reveals environmental drivers of microbial diversity by Johanna B. Holm, Savvas Paragkamian, Mike Humphreys, Apaala Chatterjee, Stephanie Yarwood, Josh Gaimaro, Melanthia Stavroulaki, Dimitris Tsaparis, Manolis Plaitis, Panagiotis Kasapidis, Stelios Darivianakis, Georgios Kotoulas, Antonios Magoulas, Anastasis Oulas, Zacharias Kyrpiotakis, Pavlos Pavlidis, Petra ten Hoopen, Guy Cochrane, H. C. F. Wiebe Kooistra, Jason R. Schriml, Bronwen E. Schriml, Ilias Lagkouvardos, Panos Gkorezis, Neil Davies, Christine Laney, Lee Stanish, Granger Sutton, Scott Tighe, Ilene Karsch Mizrachi, Donovan Parks, Pelin Yilmaz, Chelsea Carey, Pier Buttigieg, Philip Goldstein, Evangelos Pafilis, Lynn M. Schriml

“…Abstract Understanding how environmental and ecological factors shape variability in soil-associated microbial communities is a complex problem, particularly on islands, which contain a wide range of diverse and unique geology, fauna, and flora. …”
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Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks by William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa

“…In this model, devices are represented as nodes and communications as weighted edges, integrating features such as communication frequency, transmitted data volume, and protocol type. …”
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A 3D Simulation of a Type II-P Supernova: From Core Bounce to beyond Shock Breakout by David Vartanyan, Benny T.-H. Tsang, Daniel Kasen, Adam Burrows, Tianshu Wang, Lizzy Teryoshin

“…Our case study of a single progenitor underscores that 3D simulations generically produce the cornucopia of observed asymmetries and features in CCSNe observations, while establishing the methodology to study this problem in breadth.…”
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MAGAZ3NE: Massive, Extremely Dusty Galaxies at z ∼ 2 Lead to Photometric Overestimation of Number Densities of the Most Massive Galaxies at 3 < z < 4 by Ben Forrest, M. C. Cooper, Adam Muzzin, Gillian Wilson, Danilo Marchesini, Ian McConachie, Percy Gomez, Marianna Annunziatella, Z. Cemile Marsan, Joey Braspenning, Wenjun Chang, Gabriella de Lucia, Fabio Fontanot, Michaela Hirschmann, Dylan Nelson, Annalisa Pillepich, Joop Schaye, Stephanie M. Urbano Stawinski, Mauro Stefanon, Lizhi Xie

“…Of these galaxies, eight are revealed to be heavily dust-obscured 2.0 < z < 2.7 galaxies with strong emission lines, some showing broad features indicative of AGN, three are Type I AGN hosts at z > 3, one is a z ∼ 1.2 dusty galaxy, and four galaxies do not have a confirmed spectroscopic redshift. …”
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Semi-MeshSeg: A semi-supervised semantic segmentation network for large-scale urban textured meshes using all pseudo-labels by Wenjie Zi, Jun Li, Hao Chen, Qingren Jia

“…To address this issue, we propose a novel semi-supervised learning approach, Semi-MeshSeg, to tackle the problem of insufficiently labeled data. Urban meshes are irregular and susceptible to distortion, leading to blurred boundaries and surface features. …”
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Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring by S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue

“…Unlike previous complex deep learning approaches to this problem, a multi-layer perceptron (MLP) model is trained on time-domain and frequency-domain features extracted from a time series of SAR amplitude images to predict the temporal coherence value of each individual pixel, and thus to select coherent pixels. …”
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Venous Thromboembolic Complications in Patients with Acute Chemical Poisoning by M. V. Belova, K. K. Ilyashenko, G. N. Sukhodolova, E. V. Kungurtsev, A. V. Polunin, M. M. Potskhveriya, A. Yu. Simonova

“…Venous thromboembolic complications (VTEC) occur in patients hospitalized with various pathologies, complicate treatment and increase mortality. This problem has not received enough attention in toxicology.AIM OF THE STUDY. …”
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Myocarditis in Hypertrophic Cardiomyopathy: Incidence and Contribution to Disease Progression and Outcome by Yulia Lutokhina, Nasiba Seifatova, Polina Chernova, Natalia Kireeva, Roman Komarov, Marina Vukolova, Sergey Pirozhkov, Ekaterina Yantikova, Nargiza Babakulova, Boris Tlisov, Andrey Dzyundzya, Beatrice Volel

“…Hypertrophic cardiomyopathy (HCM) is the most common cardiomyopathy; however, few studies have examined the combination of myocarditis and HCM, thereby highlighting the importance of this problem. This article aimed to analyze the influence of myocarditis on clinical features and outcomes in patients with HCM. …”
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Computational analysis of heat transfer for hybrid nanofluid flow within a wavy lid-driven cavity with entropy generation and non-uniform heating by Muhammad Fawad Malik, Yasir Ul Umair Bin Turabi, Mohsan Raza, Muhammad Imran, Taseer Muhammad

“…This research addresses a significant problem in heat transfer system efficiency which is essential for uses such as solar energy collection, medical devices, and microelectronics cooling. …”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…Accurately defining the extent of floods is a problem for traditional flood mapping approaches, which emphasizes the vital need for modern technologies such as Synthetic Aperture Radar (SAR) imaging. …”
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Abnormal intrinsic functional hubs and connectivity in nurses with occupational burnout: a resting-state fMRI study by Jian-Ping Liu, Jian-Ping Liu, Si-Yu Gu, Chun-Mei Song, Hu-Cheng Yang, Yang Shi, Yu-Fang Gu, Shu-Fang Wang, Ying-Zhu Chen

“…BackgroundOccupational burnout is a significant problem among nurses, linked to negative outcomes. …”
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Distributed Denial of Service Attack Detection in Software-Defined Networks Using Decision Tree Algorithms by Ali Zaman, Salman A. Khan, Nazeeruddin Mohammad, Abdelhamied A. Ateya, Sadique Ahmad, Mohammed A. ElAffendi

“…These attack paralyze networks by flooding the controller with bogus requests. The answer to this problem is to ignore machines in the network sending these requests. …”
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Indirect charitable assistance to Russia from American and Russian organisations and individuals by Vladislav Tarelko

“…Consequently, the author has identified the following purpose of this article – to summarize and expand the available material about the American and Russian relief and humanitarian assistance, to identify the features, forms and instruments of its activities, as well as to draw a general conclusion about the scale and benefits of the aforementioned assistance to Russia during the European war. …”
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BirdRecon: A free open source tool for image based bird species recognition by Hari Kishan Kondaveeti, Nabin Kumar Upadhaya, Dheeraj Sai Tukkugudam, Rahul Panigrahi, Sirivella Madhan Chandra Mouli, Valli Kumari Vatsavayi, Nagendra Panini Challa

“…To address class imbalance problem and enhance generalization, data augmentation is applied and an early stopping optimization strategy is used to prevent overfitting during training. …”
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